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Optimization of the information flow in Material Shortage Management by Karin Larsson Master Thesis Presented to the Royal Institute of Technology (KTH), Stockholm, Sweden in partial fulfilment of the requirements for the master degree of Design and Product Realization with specialisation in Logistics Federal Institute of Technology (ETH), Zürich, Switzerland 29 th of February 2008

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Optimization of the information flow in

Material Shortage Management

by

Karin Larsson

Master Thesis

Presented to the Royal Institute of Technology

(KTH), Stockholm, Sweden in partial

fulfilment of the requirements for the master

degree of

Design and Product Realization with

specialisation in Logistics

Federal Institute of Technology (ETH), Zürich, Switzerland

29th of February 2008

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Preface This thesis report is written as a completion of my master degree of Design and Product

Realization with specialisation in logistics at the Royal Institute of Technology (KTH),

Stockholm Sweden. The project focuses on material shortage management, and is

written in association between Siemens Building Technology (SBT), Zug, Switzerland

and the Federal Institute of Technology (ETH), Zürich, Switzerland. Through the five

months of work with the master thesis I have gained a lot of knowledge within supply

chain management. I have had the opportunity to get to know a business from the

supply chain point of view, the Siemens business and the industry they are operating

within. This is valuable knowledge for my studies and my future work, as well as for

my personnel development. I am very pleased that the work I have done within SBT

has been accepted and, that parts of it already are implemented. From personnel point

of view is it of great satisfaction to experience the value of the work I have done.

Through the help and guidance I have been able to fulfil my objectives for the thesis

within the timeframe, and experienced five very interesting months. I want to address a

special thanks to my supervisor at Siemens Building Technologies (SBT), Wolfgang

Zimmermann for his invaluable help, encouragement and guidance during the whole

thesis. I also want to thank Heinrich Hertach, my second supervisor at SBT, and the

factory supply chain teams in the factories in Zug and Volketswil, for there

contributions in interviews and workshops. I want to thank my supervisors at ETH,

Josef Oehmen for his support, especially through his expertise within the field of supply

chain management and project work methodology. Through all the help and guidance I

have been able to fulfil my objectives for the thesis within the timeframe and

experienced five very interesting and instructive months. I would also like to thank

Andartis AG for letting me use the software POAcalculator for my flow analysis, and

Simon Zeier for his support during the construction of the diagrams.

Zürich, Switzerland 29.2.2008

Karin Larsson

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Abstract Siemens Building Technologies (SBT) is a worldwide active enterprise with a high

customer focus, competitive prices and short delivery lead times. Material shortage has

been a known issue within SBT since the beginning of the 21st century. A more

globalized supply chain, raising customer demand and extensive collaboration with

other actors have led to an increased risk and a more vulnerable supply chain. With

increased importance of reduced capital spending and minimized assets, it turned out to

be harder to assure the availability of the material. The objectives of this thesis was to

form concepts for the material shortage management, based on calculation of the

material shortage cost and assessment of the material shortage risk factors, for the SBT

factory in Zug, Switzerland.

To fulfil the objectives the project was completed after the methodology of systems

engineering. An analysis of empirical data was executed in order to describe the current

situation of material shortage. Through the analysis a definition of material shortage

was prepared, the risk factors were assessed and the material shortage cost was

estimated. The surprising material shortage cost of 900 000 euro per year was

calculated, which correspond to one percent of the total turnover of the factory.

To reduce the material shortage cost, concepts for a material shortage management were

developed, analyzed and evaluated. A short and long term solution was formed and the

possible cost savings estimated. The first step towards a reduced material shortage cost

should be based on a excel spreadsheet with the aim to communicate the material

shortage, reduce it, and gather statistical data. Based on the statistics the long term

solution will be analyzed and evaluated again in three to six months. As a basis for the

final decision making evaluation criteria and methods have been formulated and

alternative solutions have been developed.

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Table of content

PREFACE................................................................................................................................................... I ABSTRACT ............................................................................................................................................. III TABLE OF CONTENT ............................................................................................................................V LIST OF FIGURES................................................................................................................................VII LIST OF TABLES................................................................................................................................ VIII 1. INTRODUCTION ............................................................................................................................. - 1 -

1.1 BACKGROUND FOR MASTER THESIS ......................................................................................- 1 - 1.2 OBJECTIVES OF MASTER THESIS ............................................................................................- 2 - 1.3 OUTLINE OF MASTER THESIS .................................................................................................- 3 - 1.4 STRUCTURE OF MASTER THESIS ............................................................................................- 4 -

2. COMPANY INTRODUCTION ....................................................................................................... - 6 - 2.1 SIEMENS AG...................................................................................................................................- 6 - 2.2 SIEMENS BUILDING TECHNOLOGIES ...............................................................................................- 6 -

3. METHOD........................................................................................................................................... - 9 - 3.1 SYSTEMS ENGINEERING..................................................................................................................- 9 -

3.1.1 The philosophy of Systems Engineering.............................................................................. - 10 - 3.1.2 The problem solving process............................................................................................... - 10 -

3.2 METHODS FOR SITUATION ANALYSIS ............................................................................................- 11 - 3.2.1 Information search.............................................................................................................. - 12 - 3.2.2 Information processing and illustration.............................................................................. - 14 -

3.3 METHODS FOR CONCEPT SYNTHESIS AND ANALYSIS .....................................................................- 16 - 3.4 METHODS FOR EVALUATION AND DECISION..................................................................................- 16 - 3.5 METHOD FOR IDENTIFICATION OF RISKS .......................................................................................- 17 -

4. THEORY.......................................................................................................................................... - 18 - 4.1 SUPPLY CHAIN MANAGEMENT .....................................................................................................- 18 -

4.1.1 Processes of the Supply Chain - the SCOR-model .............................................................. - 19 - 4.2 SUPPLY CHAIN RISK .....................................................................................................................- 20 -

5. SITUATION ANALYSIS ............................................................................................................... - 24 - 5.1 ANALYSIS OF MATERIAL SHORTAGE MANAGEMENT .....................................................................- 24 -

5.1.1 Material shortage management – the concept .................................................................... - 24 - 5.1.2 Material shortage risk identification .................................................................................. - 25 - 5.1.3 Material shortage risk assessment ...................................................................................... - 35 -

5.2 ANALYSIS OF THE INFORMATION FLOW ........................................................................................- 39 - 5.3 ANALYSIS OF MATERIAL SHORTAGE COST ....................................................................................- 41 - 5.4 SWOT-ANALYSIS .........................................................................................................................- 43 -

6. SOLUTION...................................................................................................................................... - 48 - 6.1 SYNTHESIS AND ANALYSIS OF THE MATERIAL SHORTAGE MANAGEMENT CONCEPT......................- 48 -

6.1.1 Optimization of the information flow .................................................................................. - 48 - 6.1.2 Concepts for the material shortage management ............................................................... - 49 - 6.1.3 Further measures of improvement ...................................................................................... - 57 -

6.2 EVALUATION OF A FUTURE MATERIAL SHORTAGE MANAGEMENT CONCEPT .................................- 60 - 6.2.1 Criteria for the material shortage concept ......................................................................... - 60 - 6.2.2 Variant evaluation and effect estimation ............................................................................ - 61 - 6.2.3 Interpretation & assessment ............................................................................................... - 62 - 6.2.4 Decision .............................................................................................................................. - 64 -

7. DISCUSSION................................................................................................................................... - 67 -

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8. CONCLUSIONS.............................................................................................................................. - 69 - 9. RECOMMENDATIONS FOR FUTURE RESEARCH............................................................... - 71 - LIST OF ABBREVIATIONS............................................................................................................. - 73 - LIST OF LITERATURE.................................................................................................................... - 74 - APPENDIX 1. INTERVIEWS ............................................................................................................... IX APPENDIX 2. WORKSHOPS ..............................................................................................................XII APPENDIX 3. SAP FUNCTIONS RELATED TO THE MASTER THESIS................................. XIV APPENDIX 4. ISHIKAWA DIAGRAM ............................................................................................ XVI APPENDIX 5. FAILURE MODE AND EFFECT ANALYSIS.......................................................XVII APPENDIX 6. INFORMATION FLOW MAPPING.......................................................................... XX APPENDIX 7. EXCEL SPREADSHEET FOR COMMUNICATION OF MATERIAL SHORTAGE .................................................................................................................................. XXXVII APPENDIX 8. MATERIAL SHORTAGE COST CALCULATION ......................................XXXVIII APPENDIX 9. OPTIMIZED INFORMATION FLOW MAPPING..............................................XLIII APPENDIX 10. EXCEL SHEET FOR COMMUNICATION & STATISTICS............................... LV APPENDIX 11. FINANCIAL ANALYSIS OF CONCEPTS........................................................... LVII APPENDIX 12. DESCRIPTION OF THE MATERIAL SHORTAGE TOOL ................................ LX APPENDIX 13. STRENGTH AND WEAKNESS ANALYSIS OF THE CONCEPTS................LXIV APPENDIX 14. IMPLEMENTATION PLAN AND CASH FLOW ANALYSIS.......................... LXV

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List of figures Figure 1 System outline for the master thesis.................................................................................... - 4 - Figure 2 Structure of the master thesis report ................................................................................... - 5 - Figure 3 Organization of Siemens AG and the allocation of sales (Siemens (a), 2008) .................. - 6 - Figure 4 Organization chart of the SBT factory in Zug (siemens (c), 2008).................................... - 8 - Figure 5 Overview of the components of systems engineering (Haberfellner, 1994)....................... - 9 - Figure 6 The problem solving cycle (Züst, 1997). ............................................................................- 11 - Figure 7 Differentiation between risk factors in order to uncover the once with the biggest influence

(Wänström, 2006) ...............................................................................................................- 15 - Figure 8 Stages of a systematic evaluation and decision making (Züst, 1997) ...............................- 16 - Figure 9 Supply chain risk tool (Harland, 2003)..............................................................................- 17 - Figure 10 Overview of the SCOR-model (level 1 – process types) (Supply Chain Council, 2008). ..- 19 - Figure 11 Current trends lead to an increased Supply Chain Risk (Ziegenbein, 2007)....................- 22 - Figure 12 Illustration of the factory supply chain, SBT factor Zug (Siemens (b), 2008) .................- 26 - Figure 13 Ishikawa diagram with the risk factors of material shortage and rise of the material

shortage cost .......................................................................................................................- 27 - Figure 14 The risk factors of material shortage, reduced due to the system outline (excl. the

information flow) ................................................................................................................- 36 - Figure 15 Assessment of the risk factors, illustrated in a differentiation matrix. The five major risk

factors of material shortage are: 1. Mistakes by managing received goods, 6. Procurement – missing, wrong or late delivery, 7. Expiring material, 8. Inventory differences and 10. Internal late deliveries. .......................................................................................................- 39 -

Figure 16 SWOT-analysis of the material shortage management within the factory supply chain at the SBT factory in Zug .............................................................................................................- 44 -

Figure 17 Overview of the material shortage communication flows, with an excel spreadsheet......- 50 -

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List of tables Table 1 Calculation of the material shortage cost ......................................................................... - 43 - Table 2 KPIs for measuring the improvements of the material shortage management ............... - 59 - Table 3 Criteria for a future material shortage management concept ......................................... - 61 - Table 4 Benefit analysis of the concepts, with weighting-scale of the criteria ............................. - 62 -

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1. Introduction

Increasing globalization, raising customer demand, shorter product lifecycle and faster

development of the information technology have resulted in a great importance of an

efficient supply chain management. Processes as sourcing, planning and controlling are

important to reach the goal of satisfying the customer demand by the minimal cost and

the minimal capital spending. To minimize the cost it is no longer efficient to only

optimize the processes within the own business, but a more extensive collaboration and

co-ordination of activities between the different actors within the supply chain are called

for. With increased collaboration follows an increased complexity and risk. To active

oppose and manage the risk is therefore very important.

Material shortage management is close related with the supply chain risk management.

The risk of material shortage is often caused by those risks that are appearing within the

supply chain. To be able to fulfil the customer demand and minimize the cost it is of

great importance that the material can be replenished undisturbed and is available at the

right place at the right time.

1.1 Background for Master Thesis

Siemens Building Technologies (SBT) is a customer focused enterprise with a delivery

lead time of two to three days. SBT has a focus on, high delivery reliability and to be

able to fulfil customer demand and keep competitive prices, it requires optimized

production processes and high capacity utilization, as well as an undisturbed material

provision.

Material shortage has been a known issue within SBT since the beginning of the 21st

century. With an increasing importance of reduced capital spending, and minimal asset,

it turned out to be harder to assure material availability, with smaller and fewer safety

stocks the whole supply chain got more vulnerable.

To manage the material shortage there was a project started in 2004 with the objectives

to define the material shortage, its causes, and how to measure and defend the material

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shortage. The project was followed by another project in 2006 where a basis of a

material shortage tool was developed. Both projects were stopped due to short resources

and insufficient analysis to base a decision. Material shortage was still an urgent

problem to be solved and in the beginning of 2007 the initiative of a master thesis

within the field was taken.

This thesis is written as a completion of a master degree in Design and Product

Realization with specialisation in logistics. A thesis within material shortage

management gives the opportunity to get to know a business from the supply chain

view, all processes from plan and source to make and deliver. The match of the studies

and the subject of the thesis were perfect and an agreement could be reached. The

master thesis project is written in association with The Swiss Federal Institute of

Technology (ETH), Zürich and Siemens Building Technologies, Zug.

1.2 Objectives of Master Thesis

The objectives of the master thesis are derived from the content requirement given by

ETH, Zürich. These requirements are defined as follow:

A. Carry out an analysis with a systematic and scientific approach, recommended to

follow the methods of systems engineering.

B. Provide proposals for measures of improvement and a realization plan for the

implementation.

C. Recommend a plan for future actions.

Based on the content requirements and the introductory work the main objectives of the

master thesis could be defined. In agreement with SBT are the objectives defined as

follow:

1. Define the concept material shortage, uncover the influencing factors and set a

priority to these factors

2. Analyze the information flow

- Carry out an information flow mapping

- Give a proposal of an optimized information flow

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3. Analyze the material shortage cost

- Define the contribution and the allocation of the material shortage cost

- Calculate the cost caused by material shortage

- Calculate the cost savings due to an implementation of the optimized

information flow

4. Provide proposals of measures of improvement to reduce the material shortage and

the material shortage cost

- Analyze the five major risk factors of the material shortage and provide

proposals of measure of improvements

- Calculate possible cost savings due to the implementation of the measure of

improvements

1.3 Outline of Master Thesis

The field of material shortage management is large and not every part can be analyzed

during a project of 20 weeks. An outline of the work has therefore been defined. For a

structured and focused problem solving the reality has to be limited. This has been done

according to the methodology of systems engineering, see chapter 3.1. A system is a

model of the reality, where the real conditions are abstracted and simplified. The system

outline has been defined with the following sense of the conceptions (Züst, 1997):

• System is the area where there are operations and changes possible and the

changes will lead to the fulfilment of the objectives.

• Surrounding system is the real world outside the system.

• Investigation area includes the system and the surrounding system as well as all

the relevant relations to describe the reality.

The defined system outline can be seen in figure 1.

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Figure 1 System outline for the master thesis

The outline for the situation analysis was drawn by the factory supply chain with the

source, make and deliver processes in focus. Due to the situation analysis a narrower

outline could be created. The processes and functions where there are changes possible

were placed within the system and processes and function where there are no changes

needed or possible or there are improvements coming in a short time were placed in the

surrounding system.

1.4 Structure of Master Thesis

The structure of this master thesis report is divided in three main parts, see figure 2. The

first part is an introduction to the master thesis, where the company is introduced, the

methods used during the master thesis work are presented and the theoretical framework

is described, according to objective A. The second part contains the chapters related to

the actual master thesis task. In the situation analysis is the result from empirical study

Plan DeliverMakeSource Return

Suppliers

DC Nürnberg

Level 1 Customer

Landis + Gyr

Sales planning

Packaging and Export

PCB assembly

Final assembly

Warehouse

Production planning

Supplier management

Inventory management

Manufacturing engineering/ Development

Procurement

Inspection received goods

Quality

Order managementMaterial Master data

Transportation

Material flowInformation flow

SURROUNDING SYSTEM

SYSTEM

INVESTIGATION AREA

Plan DeliverMakeSource ReturnPlan DeliverMakeSource Return

Suppliers

DC Nürnberg

Level 1 Customer

Landis + Gyr

Sales planning

Packaging and Export

PCB assembly

Final assembly

Warehouse

Production planning

Supplier management

Inventory management

Manufacturing engineering/ Development

Procurement

Inspection received goods

Quality

Order managementMaterial Master data

Transportation

Material flowInformation flow

SURROUNDING SYSTEM

SYSTEM

INVESTIGATION AREA

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presented and in the solution is the proposals of measures of improvement and a

realization plan for the implementation described, according to objective B. The third

part contains the reflections and conclusions of the master thesis, as well as a

recommendation of the future research, according to objective C.

Figure 2 Structure of the master thesis report

Introduction

Company introduction

Method

Theory

Situation analysis

Solution

Discussion

Conclusion

Future research

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2. Company introduction

The aim of this chapter is to give a brief introduction to Siemens AG and Siemens

Building Technologies.

2.1 Siemens AG

Siemens AG is, since the restructuring in January 2008, divided into the three sectors

Industry, Energy and Healthcare, see figure 3. Siemens AG is a worldwide active

enterprise with a revenue of 72’448 million euro, an income of 3’909 million euro and

398’000 employees worldwide (Siemens (a), 2008; FY 2007).

Figure 3 Organization of Siemens AG and the allocation of sales (Siemens (a), 2008)

2.2 Siemens Building Technologies

Siemens Building Technology is since January 2008 a division of the sector industry,

the major of the three Siemens AG sectors. The company has its origin in the company

Landis & Gyr which was founded in 1896 in Zug, Switzerland. The main products were

Sectors

Industry • Automation &

Drives • Industrial

Solutions & Services

• Siemens Building Technology

• Transportation Systems

• OSRAM

Healthcare • Medical Solutions

Energy • Power

Generations • Power

Transmission & Distribution

Div

isio

ns

External sales of sectors excl. other operations (as of Sept. 30, 2007)

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electricity meters, telephone inductors and phonographs. In 1998 a part of Landis & Gyr

was bought by Siemens AG and the company Siemens Building Technologies was

founded.

Today SBT has a turnover of 5’062 million euro, an income of 354 million euro and

employ 29’000 people worldwide (Siemens (a), 2008; FY 2007). They have 12 factories

located in Europe, North America and Asia, 500 branch offices and 130 distributors

worldwide. SBT is divided into five business units:

• Building Automations

• Fire Safety & Security Products

• Security Systems

• Heating, Ventilation and Air Conditioning products (HVAC)

• Electrical installation

This five business units bundles Siemens’ offerings for building security, automation

and operations both as service provider as well as a manufacturer of products and

systems, with a spectrum of products ranges from heating and ventilation systems, to

security and fire safety systems (Siemens (b), 2008). With its customer focused

business and the offering of total building solutions SBT has reached a leading market

position worldwide for the fire safety system as well as the building comfort, and a top

five market position for the electronic security systems.

The SBT headquarter is located in Zug, Switzerland, where also the lead factory is

located. The headquarter employs 1’950 people, from which 340 are employed in the

factory. The factory has a turnover of 95 million euro. It produces for the business units

building automations and HVAC products. The organization chart of the factory Zug

can be seen in figure 4.

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Final AssemblyDepartment

Hermann Schärer

Factory ZugBenno Moser

ShippingDepartment

Fritz Keck

Repair &Configuration

Roman Süess

ProcessTechnologiesWerner Huber

Final AssemblyArea A

Kurt Muri

PCB AssemblyDepartment

Josef Birrer

THD Assembling

Ruedi Meisinger

MaterialServices

Jörg Kündig

SMD AssemblingPeter Wigger

Logistic ProcessInitialisationAlbert Bötschi

Common function Volketswil + Zug

Final AssemblyArea B

Hubert Gisler

ProcessTechnologiesMarkus Bühler

Manufacturing Engineering

Urs Fässler

TestEngineering

Thomas Niederberger

ProductionLogistics Zug

Mario Kneubühler

ProductInitialisation

Urs Fässler

Quality, Environ-ment, SecurityBruno Isenschmid

MechanicalToolshop

Martin Koch

Inspection ofReceiving GoodsBruno Isenschmid

Factory SCMWolfgang

Zimmermann

Factory SCMWolfgang

Zimmermann

Figure 4 Organization chart of the SBT factory in Zug (Siemens (c), 2008)

The factory in Zug is producing about 1’500 different products with a delivery lead time

of 2-3 days. 80 percent of the finished goods are delivered to the distribution centre

(DC) in Nürnberg. The rest of the finished good is delivered direct to the customer. The

production is located in two different buildings within the site. The assembly of the

Printed Circuit Boards (PCB) consists of the assembly of the Through Hole Devices

(THD) and the assembly of the Surface Mounted Devices (SMD). The PCB is located in

one building, and the final assembly in another, about five minutes apart. The devices

are internal transported in between.

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3. Method

The aim of this chapter is to give an overview of the methods used during the master

thesis work, in order to make it easier for the reader to follow the analysis, the search of

solutions and the evaluation. To perform the analysis with a systematic and scientific

approach the methodology of systems engineering (SE) will be followed during the

whole master thesis work, as this is recommended by the guidelines of master thesis

work published by the institute of Logistics, Operations and Supply Chain Management

at the ETH, Zürich, Switzerland

3.1 Systems Engineering

Systems engineering is a systematically mindset and methodology for a controlled

problem solving in the area of complex socio-technical problems (Züst, 1997). The

components of the methodology are illustrated in figure 5.

Figure 5 Overview of the components of systems engineering (Haberfellner, 1994)

Techniques for project management

SE - Philosophy

Problem solving process

Process model

System thinking

System design

Project management

Techniques for system design

Problem

Solution

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3.1.1 The philosophy of Systems Engineering

The philosophy of systems engineering consists of the system thinking and the process

model. The system thinking is one of the most important components of the systems

engineering. The sense of the system thinking is to simplify the reality, to facilitate the

illustration and the understanding of the reality. The second component of the SE-

philosophy, the process model, is explaining the top down approach of the system

analysing. A top-down approach is the method of analysing a system outgoing from a

rough overview and finishing with the detailed analysis of each subsystem, until the

entire specification is reduced to base elements.

3.1.2 The problem solving process

In centre of the methodology of systems engineering is the problem solving process.

The first component, the system design, is the concrete problem solving process. The

problem solving are done in a problem solving cycle, see figure 6. The situation

analysis, the search of a solution and the evaluation will be executed according to the

steps of the problem solving cycle.

The second component of the problem solving process, the project management,

answers all the questions about organisation and coordination of the problem solving

process.

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Figure 6 The problem solving cycle (Züst, 1997).

3.2 Methods for situation analysis

Both inductive and deductive studies will be used for the analysis. To do conclusions

about the reality and form a theory outgoing from this conclusions, based on empirical

data, is an inductive study. A deductive study is the opposite where the theories and

hypothesis are formed outgoing from existing theories and verifies the empirical data

(Eriksson, 1997).

Sear

ch o

f obj

ectiv

e Se

arch

of s

olut

ion

Sele

ctio

n

INITIATION

SITUATION ANALYSIS

Stringent objectives

FORMULATION OF OBJECTIVES

CONCEPT SYNTHESIS and ANALYSIS

EVALUATION

DECISION

Primary solution oriented view

Primary objective oriented view

Non stringent objectives

Alternative solutions and criteria for evaluation

Proposals and recommendations

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As there is only a little material available within the material shortage management the

inductive study, of gathering and analyze the empirical data, is the major part of the

situation analysis. A theoretical framework can be formed through gathering

information about related subjects.

3.2.1 Information search

The search of information will be accomplished through an empirical study and a

literature study.

Empirical study

To get a better comprehension of the current situation within a short time frame the

empirical study in form of interviews are of great importance. There are semi structured

and structured interviews (Kvale, 1996). Semi structured interviews in one hour

sessions, in a relaxed environment will be used. The interviews will be conducted

outgoing from open answer questions where discussions around the questions can be

held. Not everybody can be interviewed, but a selection of about ten to fifteen people

will be prepared in cooperation with Mr. Wolfgang Zimmermann, see appendix 1. The

interviews will be held during the first month of the project. The aim of the interviews is

to map the initial situation.

As a complement to the interviews workshops will be held. The purpose of the

workshop is to:

• Get feedback of the results from the interviews.

• Create a feeling of influence among the employees. The acceptance of the final

suggested solution is important and this will be more lightly to achieve if the

concerned can take part in the process.

• Use the experience of the employees to search for a solution.

• Increase the cross functional cooperation within SBT

• Introduce the use of methods like brainstorming and FMEA.

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There will be three workshops executed during the project, with about ten participants

each time. The two first workshops will be executed during the situation analysis, while

the last will be executed during the search of a solution. A program for each workshop

will be prepared, but flexibility considers as important during the performance, see

appendix 2. In that way the author can improve her understanding, the employees can

feel relaxed and a feeling of influence among them can be created.

Both interviews and workshops will be carefully prepared. Invitations to the interviews

will be sent out per e-mail some of days in advance. A summary of the interviews will

be written directly after each interview to assure that no information will be forgotten.

The invitation for the workshops will be sent out at least one week in advance together

with the agenda and a power point presentation with an introduction to the workshop. In

this way all the participants can prepare for the workshop. The documentation during

the workshop will be done in cooperation with the participants during the workshop and

will afterward be summarized.

Literature study

A literature study of theory related to material shortage management will be conducted.

There is almost no theory available about material shortage management, but fields as

supply chain management and supply chain risk are close related with material shortage

management. The study of the internal documentation related to material shortage

management will correspond to one part of the literature study. The literature study will

be performed parallel during the whole situation analysis, but mainly during the

beginning of the analysis.

Relevant articles will be searched for in article databases e.g. FiDOR1, Google Scholar,

Science Direct and Springer Link. The books will most likely be lent from the ETH

Library, Zürich, Switzerland.

1 FIDOR is a Siemens internal database, for books and articles.

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3.2.2 Information processing and illustration

To be able to analyse the information gathered through the empirical and literature

study are there methods needed for the processing and illustration of the information.

Flow chart diagram

A flow chart diagram is a graphical analysis method to analyze and illustrate processes,

flows, interfaces and relations. A flow chart diagram can be built up hierarchic, with

father and child processes. The top-down approach will be used, an analysis method

where the analysis begins on a rough level, with the context diagram and goes into

detail in the child diagrams (Meyer, 2005). The methodology of the flow chart diagrams

will be used for the information flow analysis and the material shortage cost analysis.

The software POAdesigner will be used to construct the flow chart diagrams.

Ishikawa diagram

An Ishikawa diagram is a method of for the search and illustration of causes of a certain

problem (also called cause and effect diagram). It is considered as one of the basic tools

of quality management. The causes are often based around certain categories and for

manufacturing are normally the categories Equipment, Process, People, Materials,

Environment, and Management used (Brassard, 1994). The aim of the use of the

Ishikawa diagram is to discover all the causes of material shortage and the raise of the

material shortage cost and illustrate the relations in between them.

Failure Mode and Effect Analysis

The Failure Mode and Effect Analysis (FMEA) is a structured approach for the

designation, the estimation, the weighting, and the valuation of risks and targeted

avoidance of the failure (Below, 2000). The FMEA should be performed in groups of

four to six, with optional participants and to simplify the process should an oppressed

form be prepared (Fritz, 2007). The aim of the analysis is to set priority to the risk

factors of the material shortage, by using the experience of the employees, and to

introduce the method.

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Priority matrix

In order to develop the right measures to reduce the material shortage and the material

shortage cost it is important to distinguish those variables that have a high impact on the

material shortage cost from those which have a low impact. Further the once with a high

probability can be distinguished from those with a low probability. To illustrate the

differentiation a priority matrix is used, see figure 7.

Figure 7 Differentiation between risk factors in order to uncover the once with the major

influence (Wänström, 2006)

SWOT-analysis

In order to identify strength, weaknesses, opportunities and threats, the logic of the

SWOT-analysis will be used. The strength and weaknesses analysis is a comparison of

the actual situation with the ideal situation. The opportunities and threats describe the

possible future influences from the surrounding system.

High

High

Low

High impact &

low probability

High impact &

high probability

Low impact &

high probability

Low impact &

high probability

Probability that material shortage will appear

The

pote

ntia

l im

pact

of m

ater

ial s

horta

ge

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3.3 Methods for concept synthesis and analysis

The objective of the concept synthesis and analysis is to generate solutions that fulfil the

objectives. To develop the concepts different creativity techniques will be used.

Brainstorming is an intuitive technique designed to generate a large number of ideas

(Haberfellner, 1994). The brainstorming will be performed in team during the last

workshop.

3.4 Methods for evaluation and decision

The evaluation will follow the evaluation methodology of systems engineering, see

figure 8.

Figure 8 Stages of a systematic evaluation and decision making (Züst, 1997)

Based on the analysis, the theory, and the objectives, evaluation criteria for the material

shortage management concept will be defined. The evaluation will be based on a

strength and weakness analysis of each concept and a benefit analysis. The strength and

weakness analysis is a qualitative comparison of the concepts and the benefit analysis

will be performed for the quantitative comparison of the concepts. A benefit analysis is

Define evaluation frame and criteria

Specific information search

Variant evaluation Effect estimation

Interpretation &

assessment

Decision

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weighting-scale approach for decision making. Each criterion is given a weighting-scale

according to its importance. The concepts are graded after their fulfilment of the

criteria. The weighting-scale and the grading are multiplied and all the factors are

summed up for the total grade (Specker, 2001).

3.5 Method for identification of risks

To identify, assess and manage risks a supply chain risk tool can be used. The tool is

divided into boxes, see figure 9. Each box corresponds to one step in the process of

identifying and preventing the risk.

Figure 9 Supply chain risk tool (Harland, 2003).

The aim of the use of the supply chain tool is to apply a method for identifying and

preventing supply chain risk, to identify and prevent the material shortage risk. By using

a structured method of identifying the risks there is a higher contingency that all the

risks will be identified.

Map supply chain

Identify risk and its current location - type - potential loss

Asess risk - likelihood of occurence - likely triggers

Manage risk

Form collaborative supply chain risk strategy

Implement supply chain risk strategy

INITIATION

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4. Theory

In this chapter the theory, relevant for this thesis, will be described. The aim of the

chapter is to give some basics knowledge within the topic of the thesis. This will make

it easier for the reader to understand and follow the analysis, the solutions and the

evaluation.

4.1 Supply Chain Management

This first part of the theory will give a description of the relevant basics of Supply

Chain Management (SCM). Supply chain management is the process of planning,

implementing and controlling the functions of the supply chain as efficient as possible.

It comprises all movements and storages of the materials from raw material to finished

product from point-of-origin to point-of-consumption. The concept supply chain

management was established in the early 1980s. Ever since has there been an increasing

interest in the concept to improve performance across the entire industrial logistic

network and hence, over these two decades, supply chain management has become a

standard part of the business literature and research agendas. The concept of the SCM

was emergence of sources like the increasing globalization, outsourcing and progresses

in the information technology. This enabled organizations to establish solid

collaborative supply networks in which each specialized business partner focused on

only a few key strategic activities. (Hieber, 2002; Larsson, 2006).

There are plenty of definitions of supply chain management. If the supply chain is seen

as collaboration or a network definition of SCM reads:

“Supply Chain Management is the coordination of strategic and long-term cooperation

among co-makers in the total logistics network for the development and production of

products, both in production and procurement and in product and process innovation.

Each co-maker is active within its own area of core competence. The choice of co-

maker is made with chief importance according to its potential towards realization of

short lead time.” (Schönsleben, 2004)

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4.1.1 Processes of the Supply Chain - the SCOR-model

The supply chain (SC) has five core processes; plan, source, make, deliver and return.

There are several models of describing the processes. One of the most spread models is

the Supply Chain Operations Reference Model (SCOR), which Siemens as well as SBT

refer to when defining and describing their supply chain management.

The SCOR-model was developed in the US in 1996 to give a consolidated

understanding about the SC processes. It was developed by several representatives from

industry companies, today known as the Supply Chain Council, which is an independent

not-for-profit corporation. The model has been continuing enhanced since 1996 and the

latest version is the eighth (Mack, 2007).

A process reference model integrates the concepts of business process reengineering,

benchmarking and process measurement into a cross-functional framework. A reference

process model gives standardized descriptions of the management processes as well as a

framework of the relationships among the standard processes. It also includes standard

metrics to measure the process performance, management practices that produce best-

in-class performances and standard alignment to features and functionality. The SCOR

model is based on five core management processes plan, source, make, deliver and

return, see figure 10.

Figure 10 Overview of the SCOR-model (level 1 – process types) (Supply Chain Council, 2008).

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The SCOR-model has three levels;

• Level 1 - Process types

• Level 2 - Process categories

• Level 3 - Decompose processes

There is also a fourth level, implementation, but that is not in scope of the SCOR-

model.

The top level (level 1) defines the scope and content of the SCOR-model.

Plan Balancing the total demand with the supply to develop a course of action

which best meets the requirements of sourcing, production and delivery.

Source Processes linked to procurement of goods to meet planned or actual

demand, as well as identify and select supply source.

Make Processes linked to transformation of material to a product to meet planned

or actual demand, also including production planning and engineering of

the products.

Deliver Provide finished goods to meet planned or actual demand, like processes as

warehouse, order and distribution management.

Return Processes connected to the returning and receiving returned products for

any reason.

The second level describes the process categories and is the configuration level, where

the core processes are differenced in process types; planning, execution and enable. The

bottom level (level 3), decompose processes, describe each of this processes more

detailed (Supply-Chain Council, 2006; Ziegenbein, 2007).

4.2 Supply Chain Risk

The trend of the Supply Chain Management has in the last years moved in the direction

of more impending cost savings, due to the increased competition between the

companies and the enlarged orientation towards shareholder value. This leads to a

reduction of suppliers and resources, centralized production and distribution, and

decreased assets within the whole supply chain. The reserve capacity in the whole value

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adding chain is dramatically reduced and this leads to an increased vulnerability against

unexpected disturbances (Ziegenbein, 2007).

The definition of the supply chain reads:

“Supply Chain Risks are risks related to the logistics activities in companies’ flows of

material and information. Hence it is only a constrained part of business risk. But on the

other hand, the supply chain perspective also implies a perspective not only of your own

company but on a chain of at least three entities: customers, suppliers, and sub-

suppliers.” (Norrman, 2003)

The changing supply chain management has led to a transformed composition of the

risk portfolio. Besides the “traditional risk”, new risks emerge from sources that are

often related to close cooperation. The drivers that cause the emergence of the new risks

has been identified (Jüttner, 2005):

• Globalisation of supply chains

• Reduction of inventory holdings

• Centralised distribution

• Reduction of supplier base

• Outsourcing

• Centralised production

A summary of the current trend of increased supply chain risk can be seen in figure 11.

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Figure 11 Current trends lead to an increased Supply Chain Risk (Ziegenbein, 2007)

The globalisation has led to a wider spread of the SC-partners, suppliers and customers.

Cultural differences and differences in the political environment are appearing in the

daily business for many companies. Material and products has to be sent long distances

and pass many borders. At the same time is the customer demand getting more and

more dynamic and short delivery lead times are required.

The increased cooperation within the supply chain makes the companies more and more

dependent on each other. The number of suppliers is reduced with benefit of better

relations. Certain functions are outsourced to gain a higher degree of experience. The

reduced number of suppliers, or in extreme case single sourcing, can increase the SC

risk tremendously.

There are several examples from the reality where the supply chain risk has shown

devastating effects even tough the breakdown might be several steps further back in the

supply chain. To manage this increasing supply chain risk, more companies are

considering the importance of having a process where this risk can be systemized

Challenge: Supply Chain Risks

Trends in the SCM • Fragmentation of the SC • Globalization of the value

adding • Centralization of the sites • Reduction of no. of supplier,

assets, capacity etc. • “Just-in-time, time-critical

planning

Raised vulnerability of the material & information flow

Trends in the surroundings • Abbreviation of the product

lifecycle • Dynamic sampling of the

demand • Decreased loyalty given by the

customer • Dynamic capital markets • Natural disaster, terrorism Increased uncertainty & raised

requirements on the SCM

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identified, evaluated and controlled. A systemized management of the supply chain risk

do lead to a long and effective competitive advantage, something that many companies

are getting aware of (Kersten, 2006).

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5. Situation analysis

The aim of this chapter is to analyze the present material shortage management within

SBT. The situation analysis follows the methodology from chapter 3.1 and 3.2.

5.1 Analysis of material shortage management

This chapter correspond to the first objective of the master thesis, see chapter 1.2. The

concept material shortage management will first be discussed, followed by a risk

identification and assessment. An assessment has to be done in order to be able to

choose suitable management actions for the identified risk factors (Hallikas, 2004). The

risk identification is done according the methodology in chapter 3.5.

5.1.1 Material shortage management – the concept

Material shortage has been a known issue within Siemens Building Technologies since

the beginning of the 21st century. With an increasing globalisation of the supply chain,

aspiration against lean production2, with high flexibility and little reserve capacity, and

still be able to keep competitive prices and fulfil the customer demand, it became harder

to assure the material to be available at the right place at the right time. The entire

supply chain got more vulnerable. As there is only a little documentation available

about the current material shortage stand, within the factory Zug, the situation analysis

was mainly based on the empirical data.

To establish a concept for the material shortage management there was a project started

in 2004. This project was part of the ZMIF project, see appendix 3, with the aim to

develop a tool to improve the demand order oriented replenishment and the managing of

the production orders. The objectives of the material shortage management project were

to define the information flow, the processes and the responsibility in case of material

2 The concept of lean production is defined by the minimization of all required resources for various activities of a company. The lean thinking includes identifying waste, all non-value-adding activities in the supply chain. (Schönsleben, 2004)

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shortage. The causes of material shortage and their sources should be identified and for

the causes of material shortage the suitable measures and processes should be

established, for the controlling of the material shortage. Another project within material

shortage management was realized by Mr. Heinrich Hertach in 2006. In this project was

the basis for a tool of registration and communication of material shortage developed.

The tool should have been used as an application in the SAP. None of these two projects

were accomplished due to short resources and insufficient analysis to base a decision

upon.

The expression material shortage is widely known within the factory Zug, but it was

quickly noticed that there was no uniform definition of the expression. To be able to

manage the material shortage within the factory supply chain it is important with a

uniform understanding of the expression. From the empirical study, see appendix 1 and

2, and consultation with Mr. Wolfgang Zimmermann could a definition of material

shortage be prepared:

“Material shortage is a lack of material at any point in the factory supply

chain that causes a disturbance in the planned order scheduling.”

A material shortage can be caused both by an internal and an external source. The

understanding of a material shortage among many of the employees has been a lack of

material due to an external source, like e.g. a late delivery. To be able to manage the

material shortage and assess the risks the whole factory supply chain has to be

considered, internal as external.

5.1.2 Material shortage risk identification

The risk identification is a fundamental phase of the risk management practice. Through

identifying the risk it is possible to make the decision makers conscious about the

events and the phenomena that cause uncertainty (Hallikas, 2004). It can be hard to

identify all the risk as the events often can be dependent of each other and it is a chain

of events that causes the risk. To identify the risks that cause a material shortage, within

SBT, the factory supply chain has been analyzed, see figure 12.

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Receiving

Goods

-

Supplier CustomerProcess

Ramp

Nürnberg-

PCB Assembly Department(SMD & THD Technologie)

Final Assembly Department(12 Assembly Lines)

Stock

Com

ponents

Components

-Stock

Placing

Board

Soldering

Testing

- - -

To Order 30%

ZMIF B

G

ZMIF

Exeptions

Log. Center Nürnberg

To Stock 70%

Stock

OEM

Assembling

Final-

F unctionTesting

-

PackingShipping

-

Stock

El. Boards

InspectionElectr. Parts

Inspe ction

Mech. Parts

ZMIF = Info Tool for Production Control

Figure 12 Illustration of the factory supply chain, SBT factor Zug (Siemens (b), 2008)

The analysis has been performed with the make process in focus i.e. all steps from the

scheduling of production activities and supplying material to production, control and

packaging of goods and transportation to the stock. The make process are differenced in

three processes; make-to-stock, make-to-order and engineer-to-order. 70 percent of all

products are make-to-stock production, 30 percent make-to-order and in case of

exception is there an engineer-to-order production. The production is controlled with a

ZMIF system, see appendix 3. The make process are characterized by the lean thinking,

the focus on the reduction or elimination of waste (Christopher, 2006), customer

demand oriented production, high flexibility and optimal batch size.

The material shortage risk assessment is based on the information gathered through

interviews and workshops, see appendix 1 and 2. A lot of the information has also been

provided by the supervisor Mr. Wolfgang Zimmermann. The risk factors have been

arranged in an Ishikawa diagram to visualize the source of the factor and illustrate the

relations between them. The Ishikawa diagram can be seen in figure 13 and more

detailed in appendix 4.

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Long procurement timeMissing/Wrong/late deliveries

Insufficient resources

Machine problem/breakdown

ForecastIncorrect sales planning

Incorrect production planning

Insufficient master dataIncorrect bill of material

Incorrect delivery lead timeIncorrect scrap factor

Material shortage/Rise of material

shortage cost

ManagementProcess Materials

Equipment People Environment Cause Effect

Supplier relations

Deficient material management

Warehouse controlled by different systems

Engineering change situation

Mistakes by managing receivedgoods

ZMIF scheduling

Demand

Raise of demand

Demand lumpinessDemand uncertainity

Order conditions given by customer

Customer service requirement

Procured material

Increased lead time

Expiring material

Insufficient quality

Procurement

Incorrect sting sampling

Internal late deliveries

Inventory differencesNo access to materialGood in transporation

Unplanned stock transferOccupied by another line/factory

INFORMATION FLOW

Robust products & stabil processes

Missing Kanban cardSupplier-Kanban

Intern Kanban

Incorrect lead time

Missing retrograde booking of material

Wrong/missing Software

EmployeesEquipment Production of the wrong assembly

Use of the wrong material

Wrong planning pre-work of THD components

Clarifications Strategic Procurement

Order event

Long procurement timeMissing/Wrong/late deliveries

Insufficient resources

Machine problem/breakdown

ForecastIncorrect sales planning

Incorrect production planning

Insufficient master dataIncorrect bill of material

Incorrect delivery lead timeIncorrect scrap factor

Material shortage/Rise of material

shortage cost

ManagementProcess Materials

Equipment People Environment Cause Effect

Supplier relations

Deficient material management

Warehouse controlled by different systems

Engineering change situation

Mistakes by managing receivedgoods

ZMIF scheduling

Demand

Raise of demand

Demand lumpinessDemand uncertainity

Order conditions given by customer

Customer service requirement

Procured material

Increased lead time

Expiring material

Insufficient quality

Procurement

Incorrect sting sampling

Internal late deliveries

Inventory differencesNo access to materialGood in transporation

Unplanned stock transferOccupied by another line/factory

INFORMATION FLOW

Robust products & stabil processes

Missing Kanban cardSupplier-Kanban

Intern Kanban

Incorrect lead time

Missing retrograde booking of material

Wrong/missing Software

EmployeesEquipment Production of the wrong assembly

Use of the wrong material

Wrong planning pre-work of THD components

Clarifications Strategic Procurement

Order event

Figure 13 Ishikawa diagram with the risk factors of material shortage and rise of the material

shortage cost

Equipment related risk factors

The equipment related risk factors are the factors related to the compulsory resources in

the production processes.

The production processes in both the PCB and the final assembly are highly

automatized, but that is more or less where the similarities between the production sites

end. The final assembly has a very pleasant situation with a high spare capacity and

high flexibility. In the PCB assembly, consisting of the SMD and the THD assembly, is

the situation the opposite with the limit of capacity almost reached. The SMD assembly

is the most critical process with long setup times, no capacity reserve, low utilization

degree and low degree of flexibility. There is a major risk of material shortage caused

by the insufficient resources in the PCB assembly. The low capacity causes a risk of

material shortage due to the risks of breakdown, no optimal batch sizes or additional

setup time, causing delayed assemblies. An unplanned process breakdown is something

that is always a risk, but in the final assembly the lost production can be recovered, due

to the flexibility and the spare capacity.

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People related risk factors

The human factor is always a risk within the factory supply chain. A manual process

does always carry a certain degree of risk. The human being is not faultless, and

therefore has to be considered as one of the causes of the increased risk of material

shortage.

SBT introduce about 30 new products to the market every year, about 200-300 products

including the variants. Theses situations are covered by the term engineering change,

which is a broad range of situations, from an administrative change to a complete

changeover to a new product family (Wänström, 2006). There is a clear process defined

for the engineering change situation, but it does anyhow cause a risk of material

shortage. The phase-in and phase-out of products are the engineering change situations

that causes the major, as these processes are very complex, and a lot of know-how is

needed to a achieve a smooth changeover.

There are several manual processes within the production chain. The process for

incoming goods is more or less manual executed. The motivation for the manual

process is that the goods are delivered in different packages and quantities and with

different labelling. The material has to be repacked and relabelled, before it is

dispatched to the warehouse, a process that is difficult to automatize. The manual

handling of the incoming goods are a risk of material shortage, due to the risk of

mistakes by manual processes. The process of taking the material from the stock in the

production is another manual process that does entail a risk of material shortage. The

material that has been consumed has to be registered in the system manual. This is often

done after the production process has been finished, retrograde registration, as the

quantity used is first known then. If the retrograde registration is forgotten the risk of

material shortage, due to the inventory differences, increases.

The production of assemblies and preassemblies are controlled by the ZMIF system, see

appendix 3. The production control is executed by the employees at each line, based on

the data generated by the ZMIF system. The purpose of the decentralized production

control is to reach an optimal production, with high flexibility and optimal batch sizes.

A relative free production planning together with production in optimal batch sizes can

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cause an unplanned use of material, material that might be needed for another assembly

or product that has to be produced urgent. The ZMIF scheduling is therefore a risk

factor of material shortage.

The replenishment of parts and subassemblies is often controlled through Kanban3

loops. It can happen that a Kanban card gets lost, which is very devastating for the

material replenishment. If the missing card is not discovered it does impact the material

shortage and the later in the chain it is discovered the worse is the effect.

Environment related risk factors

As the factory supply chain is analyzed the environment related risk factors are seen as

risks caused by the customer.

In general there is a seasonal fluctuation in the customer demand, with the exception of

the phase-in and phase-out products, where the demand can be very lumpy. How the

demand affects the material shortage is closely related with the planning. Currently

there is no information how the demand planning affects the material shortage, but it is

clear that the influence is considerable. If a good forecast is given, and followed by the

customer it eases the planning, as well the replenishment of the material. Two of the

most important customers for the factory in Zug are Buffalo Groove and Landis + Gyr.

The increased demand from Buffalo Groove was in the business year 2007 almost 100

percent and from Landis+Gyr almost 40 percent (Moser, 2007). Increased demand like

these does complicate the material replenishment and an increased demand is a major

risk factor of material shortage. The link between the demand and the customer relations

is strong. A good customer relation does ease the communication and the demand

forecast delivered by customer has an increased trustworthy. As the factory mainly

deliver to the distribution centre in Nürnberg the main part of customer management are

centrally controlled for SBT global.

3 Kanban is a simple technique for stochastic materials management, with the aim to work as quickly as possible with small batch sizes and small buffer storages. The production is controlled by kanban cards. The kanban card has the purpose to identify the contents and release the order. A kanban loop contains one or more bins and every time a bin is empty a production order is released. The batch size is controlled by the size of the bin. (Schönsleben, 2004)

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Process related risk factors

The process related risk factors are all the risks related to the processes needed to

control the supply chain, as e.g. processes related to the source and make. To avoid

material shortage it is important to have robust product and stabile processes. An

example is the process engineering change situation, like phase-in and phase-out of

products. Even though there is a clear defined process this situation often leads to a

material shortage.

The process of the demand planning is a current issue within the factory supply chain.

The demand plan process generates forecast figures which are the basis for the planning

of the product demand. The quality of the demand plan is vital for efficient sales and

sourcing processes. Demand plan figures that are too high cause high amounts of tied up

capital and low forecast figures cause a increased production cost of the delivered

products, or unfulfilled customer orders. To achieve a good quality of the demand plan,

all market insights of the regions and the global product perspective are used to generate

a realistic forecast. The demand plan is processed yearly for a budget oriented planning

and quarterly for a more detailed planning. The accuracy of the demand planning has a

high impact of the material shortage. Due to the missing quantification of the accuracy

of the planning it is difficult to estimate the impact, but from the interviews it was

evident that there is a doubt in the forecast accuracy among the employees, and that it

does affect the material shortage.

The master data, comprised of all order-independent business objects (Schönsleben,

2004), is an important part of the supporting process. It includes information about e.g.

suppliers, materials, products, customers, and employees. Incorrect master data can

have a high impact on the material shortage, depending on what master data it is. Master

data like bill of material and scrap factor does impact the planning of procurement and

production. A correct scrap factor is important both for the procurement of material and

to avoid inventory difference. The scrap factor is updated yearly. The accuracy of the

scrap factor is not measured, and it is therefore hard to estimate the consequences. A

delivery lead time lower than the actual time registered in the system can cause material

shortage, due to minimum asset levels. An incorrect supplier can cause a catastrophe if

there is no second source available.

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The replenishment of small THD and SMD component is done in kanban loops. The

planning of the kanban loops, including number of bins and sizes of the bins, are

complicated due to the pre work of the components. These components have to be

shaped in variants to fit in different assemblies. Each component has numerous variants,

but each variant of one component has the same material number. The demand of each

variant is therefore impossible to foresee. An incorrect planning of the kanban loop

leads to a risk of material shortage.

Materials related risk factors

Producing 1’500 different products with a delivery lead time of 2-3 days assume an

efficient material replenishment. The factory has a range of about 7500 materials

ordered from about 700 suppliers. The delivery capability given by the suppliers are 92

percent4, where six percent are delivered to early (Räder, 2007; FY 06/07). The delivery

lead time is in average 55 days and varies between one to 280 days. The long

procurement times together with the uncertain forecast makes the risk of material

shortage due to procured material high.

The quality of the procured material is also a risk factor. The quality test of the

purchased material today is made with “Reduced controlled testing”, which means that

there are only random tests executed. Materials from some suppliers are one hundred

percent tested, while materials from other suppliers are not tested at all. Most of the

materials are tested with sting sampling. Through improved relationship with the

suppliers the trend goes towards less quality testing. The supplier reject is less than one

percent (Räder, 2007; FY 06/07), but there are cases where the complete delivery has an

insufficient quality. This happens seldom but has a high impact on the material shortage

if it occurs.

The high numbers of procured materials introduce a risk of material shortage due to

expiring material. There is a clear process defined for the managing expiring material.

The major risk of material shortage occurs if the expiring material is late proclaimed by

supplier or the information about the expiring material is available, but not 4 Calculated from the first delivery date confirmed by the supplier, i.e. if the delivery date is advanced and confirmed by the supplier, but the delivery is delayed due to the last confirmed date, the delivery capability is still 100 percent.

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communicated within the factory supply chain. If the expiring material is late

proclaimed, there is no second source or/and the procurement time is long it can cause a

real problem. Another aspect where the expiring material causes a risk of material

shortage is in the case when “a last buy” of the material has to be done. The supplier

proclaims the expiration and SBT buys and stores the material, in a quantity covering

the demand until the material can be replaces. Due to the uncertain forecast the quantity

of the last buy is hard to calculate and a too small quantity cause a risk of material

shortage.

Inventory differences are a problem that causes many difficulties within factory. An

inventory difference is a variation of the amount of material in the system compared to

the reality. As long as the variation is positive it does not impact the material shortage,

but as soon it is negative the risk of material shortage increases. The major problem

with the inventory differences is in the SMD assembly. The lack of capacity gives rise

to an optimal use the machines. When the production is scheduled a production order

can be produced only if there is enough material according to availability test, the

ZVER function, see appendix 3. If the material is available, according to the availability

test the machine is setup. The missing material is first discovered when the material is

gathered and due to the lack of material the planned production order can not be started

or fulfilled. Due to this the machine has to be shut down and setup again, and important

time has been lost. The reasons of inventory differences are many, but some can be

mentioned; insufficient warehouse management, inaccurate amount of delivered goods,

retrograde booking and the scrap factor.

There are several locations of the storages within the factory. When the material arrives

it is first transferred through the entrance for incoming goods, the inspection of

receiving goods and ending in the central warehouse. From the central warehouse is the

material distributed to the local stocks. The transfer from the good receipt to the local

stock takes approximately 1.9 days. If the material is urgent a message about express

material is sent to the incoming goods and the material can be available at the local

stock within some hours (Interview, Isenschmid, 2008). The material is first available

for the production when it reaches the local stock. There are therefore cases of material

shortage where the material is available within the site, but it is on the wrong place and

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is not visible for the production. This kind of “false material shortage” does increase the

material shortage cost due to the time consumption needed to sort it out. Another type

of “false material shortage” is when the material is occupied of another machine. In the

PCB assembly are there components delivered on rolls. During the production process

are the rolls attached to the machines and the components are assembled direct from the

rolls. If there is one or only few rolls available these can be occupied by another

process. The material is available according to the system, but unavailable in the reality

and this is first discovered when the material is gathered.

The risk of material shortage due to internal late deliveries is major and causes a lot of

problems. The risk of internal late deliveries due to material shortage is increased by all

the risks of material shortage that appear in the supply chain, before the final assembly.

The risk of internal late deliveries are close related to many of the risk factors discussed

in this chapter and will therefore not be further discussed.

Management related risk factors

An insufficient warehouse management system causes a major risk of material shortage

due to the risk of inventory differences. The additional effort needed for inventories and

search of material causes an unplanned cost. The current warehouse management

within the factory Zug is insufficient. When the material is received it is booked in the

SAP system. The warehouse transactions within the PCB assembly are controlled by a

Kardex system, an external warehouse management system not linked with the SAP

system. The warehouse transactions in the final assembly are controlled by a user

developed MS Access database. An intelligent interface between the warehouse

controlling systems and the SAP system is missing, and the continuing updating of the

information is therefore missing. Due to the missing continuing updating of information

is there a major risk of inventory differences increasing the risk of material shortage.

SBT is a customer focused business with a wide product range and short delivery lead

times. To be able to fulfil the customer demand and keep the competitive prices the

procurement process is very important. The reliability of the procurement process is

highly dependent on the customer relations. With approximately 7’000 different

materials to procure and long procurement time, and in addition an uncertain planning,

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the supplier relation can be the deciding factor if a material shortage can be solved or

not. SBT is currently developing there customer relations, but there are still a long way

to go before the goal is reached.

If there is a change in e.g. delivery lead time, price of material, or an expiring material

this problem must be sorted out by the Global Procurement Logistics (GPL) before the

material can be purchased. The process of GPL does often take some time and when the

material can be normal procured again the time left until the material is needed can be

shorter than the delivery lead time and this lead to an enhanced risk of material

shortage.

Information Flow

Communication can be defined as the process of interaction. It is the act of passing

information and the process by which meanings are exchanged so as to produce

understanding (Wikipedia, 2008). The communication and the exchange of information

are essential parts of the daily business and a prerequisite to achieve a factory with a

uniform vision and successful cross-factory cooperation.

During the empirical study it was clear that one of the major problems related to

material shortage was the deficient exchange of information, a problem that occurs daily

and increase the risk of material shortage significantly. Such an essential thing as the

PCB and the final assembly located in two different buildings complicates the

communication considerable. The information about a material shortage or a risk of

material shortage is often available, but not communicated to those that might need the

information. The knowledge that the information is available, but not communicated

weakens the relations between the departments. There is no structured process for

information sharing. It is sometimes done by phone, sometimes by e-mail, sometimes

by meetings and discussions or sometimes not at all. The risk of material shortage raise

due to the missing information flow, but what is even more important is the material

shortage cost. A lot of the cost comes from all the work that has to be done

unnecessarily, due to the reason that the information was not where it was suppose to

be. The major risk of material shortage due to the insufficient information flow is the

reason why this thesis is focused on an information flow optimization.

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5.1.3 Material shortage risk assessment

In order to find the appropriate concept of the material shortage management it is

important to distinguish those variables that have a high impact on the material shortage

cost from those which have a low impact. Further the once with a high probability can

be distinguished from those with a low probability. The risk of material shortage due to

the insufficient information flow will be excluded from the assessment, as this is the

main field of the master thesis. The information flow will be separately analyzed in

chapter 5.2.

Before the assessment could be done the identified risk factors, see figure 13, were

reduced outgoing from the system outline, see figure 1. Only the risk factors where

there are improvements possible within the master thesis were assessed. The risk factors

in reduced form can be seen in figure 14.

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Figure 14 The risk factors of material shortage, reduced due to the system outline (excl. the

information flow)

SOURCE R

ISK

FA

CTO

RS

Equipment

People

1. Mistakes by managing received goods

2. Missing retrograde booking

3. ZMIF-scheduling a. Production of the

wrong assembly b. Use of the wrong

material

4. Missing Kanban-card

a. Supplier-Kanban b. Intern-Kanban

Process

5. Insufficient master data

a. Incorrect bill of material

b. Incorrect delivery lead time

c. Incorrect scrap factor d. Incorrect lead time

Environment

Management

11. Deficient material management

a. Warehouse controlled by different systems

Materials

6. Procurement a. Missing/wrong/ late

delivery

7. Expiring material

8. Inventory differences

9. No access to material

a. Unplanned stock transfer

b. Occupied by another line/factory

10. Internal late deliveries

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Projects in progress

As mentioned in chapter 1.3 the fields where there are improvements coming within the

close future will be excluded from system. There are currently projects running within

the supply chain management. The project currently running within the factory supply

chain will be described shortly.

• The Sourcing Logistics Framework project (SLF):

An efficient sourcing logistics is the prerequisite for low inventories, which

corresponding positive effects on capital, and the scrapping and the warehousing

cost. Definition and implementation of standards for the sourcing logistics is the aim

of the SLF project and to thereby generate financial benefits for the company. The

SLF comprises standard sourcing models inclusive selection criteria; material,

information and value flow and milestones and metrics in the sourcing process

(Siemens (d), 2008). The new business model, Vendor Managed Inventory (VMI) is

a part if the SLF project. The VMI is a two-way exchange of information to create a

close relationship with the supplier and create an optimized supply chain for both

parts. It is a focus on giving the supplier the responsibility of the supply of the

material. The supplier will be provided with certain information and takes full

responsibility for maintaining an agreed inventory of the material. VMI makes it

less likely that there will be stock out, at the same time as the stock levels can be

reduced. SBT has implemented the VMI with their suppliers since autumn 2006.

• Demand planning project:

To improve the accuracy of the demand planning and increase the measurability of

the accuracy of the demand planning is there a demand planning project. The aim of

the project is to find an application for the improvement of demand planning. An

improved demand plan decreases the risk of material shortage.

• Capacity project in PCB assembly:

The capacity problem in the PCB assembly is a daily subject discussed within the

factory supply chain. The bottleneck of the whole factory is appearing in the SMD

assembly. A project has been started with the aim to increase the capacity and the

utilization degree of the machines in the PCB.

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• Project to improve the phase-in and phase-out process:

The phase-in and phase out of products are a very complex process, which need a lot

of experience to handle. To be able to smooth the process a project has been started.

The project is driven by the department of manufacturing engineering and the aim is

to review the current phase-in/phase-out process.

Assessment of risk factors

For the assessments of the risk it appears that there are two main questions to be

answered (Harlan, 2003):

• How likely is it that an event will occur?

• What is the significance of the consequence and losses?

There are no statistics available to answer those questions. The solution was to use the

experience of the employees. During two workshops was the assessment done with the

method FMEA, see chapter 3.1.1. As the FMEA is a time consuming method the risk

factors were limited through a pre-selection. The result from the FMEA can be seen in

appendix 5 and the results are illustrated in a differentiation matrix, see figure 15.

Through the assessment was the five major risks of material shortage identified; internal

late deliveries, inventory differences, procurement-missing, wrong or late delivery,

mistakes by managing received goods and expiring material. According to the fourth

objective, see chapter 1.2, will these five risks be further analyzed and proposals of

measures of improvements will be provided.

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Figure 15 Assessment of the risk factors, illustrated in a differentiation matrix. The five major risk

factors of material shortage are: 1. Mistakes by managing received goods, 6.

Procurement – missing, wrong or late delivery, 7. Expiring material, 8. Inventory

differences and 10. Internal late deliveries.

5.2 Analysis of the information flow

This chapter correspond to the second objective, see chapter 1.2. The aim of this chapter

is to identify the current information flow, its bottlenecks and structure. The exchange

of information is an essential part of the daily business and a prerequisite to achieve a

factory with a uniform vision and successful cross-factory cooperation.

There are several examples, happened lately, from the factory where it is visible that

there is a clear and perspicuous information flow missing. A current example, where the

missing information had dreadful consequences, can be found in the PCB assembly.

The production process began in the SMD assembly where the circuit boards where

High

High

Low Probability that material shortage will appear

The potential impact of m

aterial shortage

7

5d

5c

1

6

5a

9

5b

10

8

The

pote

ntia

l im

pact

of m

ater

ial s

horta

ge

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completely assembled. They were passed on to the THD assembly in hoppers. When

they were going to be assembled with the THDs a material shortage was discovered and

the process could not be accomplished. Due to the lack of room and hoppers, the boards

had to be taken out of the hoppers, put into boxes and transferred to the warehouse. This

caused a lot of extra material handling and use of the SMD machines that could have

been used for a more important order. This kind of mistakes is devastating due to the

lack of capacity. With a clear and perspicuous information flow where the material

shortage in the next process would have been visible, the first process would not have

been started and the problem would not have been occurred.

The information flow analysis was done according to the methodology of flow chart

diagrams, see chapter 3.2.2. The initialization of the information flow mapping was

done during the first workshop, see appendix 2. To get a fair picture of the information

flow, continuing feedback was given by chosen employees during the whole

development process. The information flow mapping can be seen in appendix 6.

There were three types of information flows identified:

• When the material shortage is discovered in the incoming goods or inspection of

received goods, see appendix 6, figure A6.6.

• When the material shortage is discovered in the in the production i.e. in SMD, THD

or final assembly, see appendix 6, figure A6.7.

• When the material shortage is discovered by the material planner in the department

for sourcing and production logistics, see appendix 6, figure A6.8.

The information flow has two significances:

• All the information goes through a material planner in the department for sourcing

and production logistics, see appendix 6, figure A6.3.

• There is no information communicated between the different entities of the factory

supply chain, see appendix 6, figure A6.3.

There is no clear description the material shortage communication. Due to that is there

never a guarantee that the information about the material shortage is communicated. As

the PCB assembly is running both day and night shifts and the administration

departments is only working day shift it is difficult to assure that the information about

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the material shortage discovered during the night does reach the sourcing and

production logistics.

Between the SMD assembly and the sourcing and production logistics is there a tool

available to simplify the communication of material shortage. The tool is based on an

excel spreadsheet where the material shortage can be registered, see appendix 7. Each

material planner in the sourcing and production logistics is controlling the spreadsheet

at least once every day. When there is a material shortage it is solved according to the

process in appendix 6, figure 6.8. When the solution is found it is registered in the

spreadsheet and the SMD assembly are able to observe when the material will be

available and can improve the controlling of the production according to this

information.

The avoidance of material shortage is a part of the daily business for the department of

Sourcing and production logistics. There are applications available in the SAP system,

e.g. MD04 and ZRW0, see appendix 3. The applications are used daily to prevent the

material shortage. If a risk of material shortage appears the required actions has to be

performed in order to avoid the material shortage.

The analysis of the information flow has given a good overview of the problem with the

information flow, but also and the general problems of material shortage, and based on

this analysis will it be possible to optimize the information flow according to second

objective, see chapter 1.2.

5.3 Analysis of material shortage cost

This chapter correspond to the third objective, see chapter 1.2. The aim of this chapter is

to identify and calculate the costs related to the material shortage.

The essential loss factors from the companies’ point of view are often the financial

consequences like costs, but there are also other consequences to consider. According to

Harland (2003) there are five different types of losses to consider:

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• Financial loss

• Performance loss

• Physical loss

• Social loss

• Time loss

The outline for the cost analysis was drawn by financial, performance and time loss, all

losses translated into costs in euro. The cost analysis was done outgoing from the flow

chart of the information flow, see appendix 6. The cost analysis is based on interviews

and collection of the few statistics available related to material shortage cost:

• Information about additional material cost due to by-pass supplier

• Excel spreadsheet used between SMD assembly and sourcing and production

logistics

• Data about quality of procured material (Bogdanovic, 2007)

The assumptions of the cost was done through estimations of the quantity of material

shortage per year, the cost for each process to manage the material shortage and the time

invested by the employees to solve the material shortage.

To be able to calculate the cost some general assumptions had to be done. Due to the

delimitation, the material shortage consists of:

• Additional effort for employees due to material shortage in the production

departments, the sourcing and production logistics, the global procurement logistics

and the inspection of received goods.

• Additional material costs (e.g. due to by-pass suppliers)

• Time and performance loss in the production due to downtime in the process

The calculations were done for each department separately. The tool POAcalculator was

used for the calculations. Further descriptions of the cost calculations can be seen in

appendix 8.

The total cost of material shortage is about 881’500 euro excluded the cost of

preventing the material shortage, which is additionally 72’000 euro. The allocation of

the cost can be seen in table 1. The SBT factory in Zug has a yearly turnover of 95

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million euro, and the material shortage cost account for almost one percent of the

turnover.

DepartmentTime (h)

Cost (€/h) Cost (€)

Allocation of cost

1. Cost due to additional work effort (cost of daily business excl.) 503'250 € 57% Inspection of receiving goods 500 75 € 37'500 € PCB-assembly SMD-assembly 440 75 € 33'000 € THD-assembly 110 75 € 8'250 € Final assembly 2'800 75 € 210'000 € Sourcing and production logistics 115'000 € Cost of daily business avoiding material shortage 960 75 € 72'000 € 8% Global procurement logistics 2'400 75 € 180'000 €2. Cost due to additional material cost 310'000 € 35%3. Cost due to time and perfomance loss 440 155 € 68'200 € 8%Total material shortage cost 881'450 € 100%

See figure A8.1

Table 1 Calculation of the material shortage cost

5.4 SWOT-analysis

The situation analysis is completed with a SWOT-analysis, see chapter 3.2.2. The aim

of the SWOT-analysis is to find the significant strength and weaknesses of the analyzed

system in actual state and the opportunity and threats coming from the surrounding

system in the future. With these characteristics indentified is it possible to develop

measures to (Züst, 1997):

• Establish the strength and use the opportunities

• Establish the strength and minimize the threats

• Eliminate the weaknesses and use the opportunities

• Eliminate the weaknesses and minimize the threats

The result of the SWOT-analysis can be seen in figure 16.

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Layout planning

Resources/capacity Forecast process

Asset management Less quality control of received goods

Customer service requirements Global sourcing

Closer cooperation with suppliers Changing Supply Chain Management Market situation

Capacity & flexibility PCB-assembly Capacity utilization PCB-assembly

Inventory management Plant layout

Procurement lead time Number of engineering change

situations Information flow & communication Understanding of width of problem

Machine handling Change management

Manual processes Documentation

Capacity & flexibility final assembly Quality thinking Flexible production Flexible processes Experienced employees Machines

Helpful Harmful Sy

ste

m

Surr

ou

nd

ing

sy

ste

m

Threats Opportunities

Weaknesses Strength

Figure 16 SWOT-analysis of the material shortage management within the factory supply chain at

the SBT factory in Zug

Strength of the system

One of the most characteristic strength of the system is the capacity and flexibility of

the final assembly. There are more resources available than needed and a breakdown

can easy be mitigated by additional work hours. The constant quality thinking is

strength. SBT is producing products where the requirement is more or less one hundred

percent quality assurance, something that each employee tries to influence to fulfil. The

flexibility of the employees as well as the flexibility of the processes is another

important strength, which is a requisite to be able to handle the complex processes and

problems that are appearing within SBT. The experienced employees are a strength

within the same field. Due to the experience of many of the employees many problems

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can be solved fast and efficient. In both parts of the factory are there robust machines,

mostly running without breakdowns, which is a great strength.

Weaknesses of the system

The most characteristic weaknesses of the system are the capacity, flexibility and

utilization degree of the PCB assembly, something that affects the material shortage

tremendously. The inventory management is another weakness that affects the daily

work for many employees. The plant layout, that the PCB and final assembly are

located in two different buildings, is another weakness. This makes the lead time longer,

reduces the overview and complicates the communication. The long average

procurement lead time is a weakness both when it comes to material shortage and the

business in general. The engineering change situations lead to material shortage

problems, due to high the number of situation. There is clear process defined

engineering change situation, but the processes can not handle the number of situations.

The main theme of this master thesis, the information flow and communication has to

be mentioned as one of weaknesses. Another close related weakness is the

understanding of the width of the problem of material shortage. Everybody is aware of

the problem, but sees only his/her part of the problem. The global view is missing. The

machine robustness is mentioned as a strength, but the handling of the machines is a

weakness, which might explain the low utilization degree. The change management or

rather the speed of the change management is a weakness of the machines in the PCB

assembly. It is hard to implement new systems and processes in a company with the size

as SBT. A flexible process is strength, but flexibility does also very often mean manual

processes. A manual process is a potential source of errors and mistakes. The

documentation is a weakness and especially within the material shortage. It is known

that it is a problem, but there is no documentation that shows the width of the problem

or what costs the problem causes.

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Opportunities in the surrounding system

SBT is currently developing the cooperation with their suppliers, as a part of the SLF

project. The cooperation leads to a lower material shortage risk for SBT as the supplier

guarantee a certain quality and material availability. This is an opportunity that SBT

might be able to use in order to decrease the material shortage cost. SBT is currently

within a changing phase. During the end of 2007 was the CEO concept changed

according to the new Siemens structure. Within the factory Zug is also the supply chain

management under changes, with a supply chain manager hired in the beginning of

2007. There is a development towards an internal as well as external smoothen supply

chain and this is a chance of reducing the material shortage. SBT are operating in a

market where there are continuing development needed. To be able to satisfy the market

demand is there a continuing work running to adapt the company strategies and

products to fit the market. With a good market adaptation SBT can avoid to produce the

wrong products and their number of products can be reduced. With a lower number of

products it is easier to avoid material shortage.

Threats in the surrounding system

SBT will face several threats in the future if they will not do any changes. They have a

non optimal layout, with their production divided in two different buildings, as well as a

lack of room in the PCB assembly. If the demand keeps on increasing the space will

very soon be too small to keep the PCB assembly as it is today. A lack of room will be a

possible risk of increasing the material shortage cost. There is a project running to

increase the capacity, but if the problem is not solved fast enough it might cause an

immense risk of material shortage. SBT has currently problems with the quality of the

forecast, something that does affect the material shortage a lot. They are aware of the

problem, but if there is no changes the quality of the forecast it might be hard to

improve the material shortage situation. SBT is a customer focused business and if they

can not longer keep there short delivery lead time they might lose a lot. Asset

management is a big trend at the moment. The assets should be reduced in order to

decrease the capital tied up. The factory has a demand from the global SBT to reduce

their assets, but the measures to reduce the assets are locally developed. The assets have

to be optimized not only minimized and if this is not done in the right way there is a

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major risk that the material shortage will increase. Closer cooperation with the suppliers

on one hand is an opportunity to reduce the risk, but on the other hand it might be a

threat as the quality controls are reduced. SBT has already today reduced their quality

control and if the quality question is not correct handled it might be a major source of

material shortage. With a customer focus business where the customer is “king” the

customer itself might be a threat. If the customer gets to much freedom it might be

difficult to fulfil their demands. The last threat is the trend towards a more global

sourcing. The global sourcing can be an opportunity if it is managed in the right way,

but if not it is a big threat affecting the material shortage.

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6. Solution

The aim of this chapter is to develop and evaluate solutions, to fulfil the objectives of

the thesis. The results of the concept synthesis and analysis, and the evaluation will be

presented. An overview of the developed concepts of material shortage management for

SBT will be given. The concepts will be developed and analyzed based on the situation

analysis and evaluated from the defined criteria.

6.1 Synthesis and analysis of the material shortage management concept

The main task of this thesis is to optimize the information flow of the material shortage

and the first part of this chapter will handle this task, according to the second objective.

The second part of this chapter will handle both the second and the fourth objective, see

chapter 1.2, where measures will be developed in order improve the information flow

and to decrease the risk of material shortage.

6.1.1 Optimization of the information flow

In this chapter an illustration of the optimized information flow will be presented. It is

important that the material shortage is perspicuous within the whole factory supply

chain, from the entrance of the incoming goods to the export of the goods. For this is an

efficient information sharing needed. There are several ways to improve the information

flow. As a basis for an improved information flow an optimized information flow has

been developed with the methods of flow chart diagrams. The optimization of the

information flow has been developed outgoing from the current flow, identified in the

situation analysis, see chapter 5.2. The flow chart diagram has been developed with the

tool POAdesigner and can be seen in appendix 9. The processes and flows that might be

able automatize have been identified and an efficient way of sharing the information has

been found.

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The optimized information flow has several significances, see appendix 9, figure A9.3:

• The condition of the material shortage can be measured, through the possibility to

gather statistics

• There is a direct communication of the information between the entities of the

factory supply chain, which makes the information sharing more efficient and assure

that the information will reach its object

• The information about the current material shortage situation is available, and

uncomplicated to find and admit.

• Several processes can be automized, which decrease the work effort needed to solve

the material shortage.

• An efficient information flow is reached, as only a part of the material shortage

information goes through the department of sourcing and production logistics.

• The optimized information flow paves the way for a decentralized material shortage

solving.

The desire is to find a material shortage concept that accomplishes this ideal

representation of the information flow as exceedingly as possible.

6.1.2 Concepts for the material shortage management

This chapter handles the development of a concept for the management of the material

shortage, both due to improved information flow and decreased risk of material

shortage. The concepts have been developed in cooperation with the employees of the

factory supply chain. The employees had the opportunity to express their conception of

an improved material shortage management during interviews. During the last

workshops a short brainstorming was held with the purpose to generate ideas about the

material shortage management concept. In this chapter will the concepts generated be

presented and further discussed.

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Excel based solution of material shortage

There is an Excel spreadsheet used today to communicate the material shortage between

the SMD assembly and the sourcing and production logistics, see chapter 5.2. The

proposal is to further develop this spreadsheet, in order to be able use it between all the

concerned departments and for two-way communication, see figure 17.

Figure 17 Overview of the material shortage communication flows, with an excel spreadsheet

As there has been no statistics gathered about material shortage earlier and the causes of

material shortage is still relative unknown, it is important that there will be statistics

gathered. The further development of the spreadsheet wills therefore a part for statistics.

By developing a combined concept for both the communication of material shortage

and the gathering of statistics, the development, implementation and education can be

faster and simpler. It is important very important to make the spreadsheet as user-

friendly as possible to make easy to understand and fast to fill out. The spreadsheet can

be developed both in MS Access and MS Excel, but as there is already a basis of a

spreadsheet developed in MS Excel, the recommendation is to do the further

development, based on this spreadsheet, in MS Excel. To expand the already existing

spreadsheet will need neither effort nor time, and the implementation will be fast and

simple.

Sourcing & Production

Logistic

THD assembly

SMD assembly

Final assembly

Incoming goods

Identification of received

goods

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There has been a proposal of a possible design of the spreadsheet developed in MS

Excel, see appendix 10. The spreadsheet is divided into two parts; one to be filled out

by the discoverer and the other to be filled out by the problem analyst. Both parts of the

spreadsheet have one fraction for the information about the material shortage and one

for the statistics. To facilitate the fill in of the statistics, there has been selection lists

prepared to select from.

The Excel spreadsheet should be available on a central drive, which all factory Zug

members with computer access can entry. The spreadsheet can be downloaded from the

drive either to read or to make changes in. In this way each person, interesting in the

current material shortage situation can get the information through this spreadsheet.

The investment needed to develop and implement the Excel spreadsheet is negligible.

The operating cost can be estimated to one hundred hours of work effort the first year

and a little less the second year, see appendix 11.

Material shortage tool

During the empirical study it was clear that there are several employees within the

factory supply chain, which are convinced, that the optimal solution for a material

shortage management concept is a material shortage tool. There is already a base for a

material shortage tool developed and this has been used as a base for the synthesis of

this concept.

The exciting concept is a tool integrated in the SAP system and has the following

functions (Hertach, 2006):

• Manual registration of data for material shortage quantity

• Manual registration of data for received material quantity

• Automatically acquisition and handling of data for material shortage quantities,

where the available material is too low

• SAP platform where the material shortage balance is accounted

• Status indication of the material shortage case handling

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To fulfil the criteria for a material shortage management concept there are further

requirements of the functions of the material shortage tool:

• Systematic dispatching of the material shortage case depending on the material or

assembly

• Compile statistics about material shortage

• Indication of critical material or early warning system

• Classification of the material shortage

• Automatically rescheduling of orders, when the available material is too little, as

long as the rescheduling does not exceed the customer order date

• Indication of “out of material”

The function description of the material shortage tool can be seen in appendix 12.

The basic function of the material shortage tool is the registration of the material

shortage and the solution, as well as an overview of the current material shortage

situation. A manual registration of the material shortage is made as soon as it is

discovered. The material or assembly number is manual registered as well as the

production order and the description and statistics of the case. The rest of the necessary

data is automatically generated. An automatically generated message is sent to the

responsible problem analyst, either in the sourcing and production logistics or the PCB

assembly. The problem analyst can be decided from the material or assembly number.

The data about the material shortage case is stored on a platform to be visible. The

actions taken by the problem analyst are automatically registered in an agenda. Through

this agenda the discoverer can follow the procedure of the work. As soon as a solution is

found it is registered by the problem analyst on the platform and an automatically

generated e-mail is sent back to the discoverer.

The additional functions of the material shortage tool will be further described to

increase the understanding of the further development of the existing concept of a

material shortage tool. The statistics gathering function is important to be able to find

the major risk factors of material shortage and to be able to counteract these risks. The

statistics includes information about the material, as quantity of shortage, supplier of the

material, and how often the same material has caused a material shortage. The statistics

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also includes information about the cases of material shortage, the reason of the

shortage, the effort needed to solve the shortage and the additional material cost. The

statistics are partly automatically generated e.g. the information about the material and

supplier, and one part to be filled in manual by both the discoverer and the problem

analyst,

The indication critical of material is one of the most important functions of the tool, as

this is a part of the prevention of the material shortage. When a risk of a material

shortage is discovered, especially caused by procurement such as late deliveries or

insufficient quality, it is known that this later might lead to a material shortage. When

the material problem is discovered the available stock is compared to the demand until

the next delivery, and if the safety stock level will be undercut during this period the

material is marked as a critical material. This notation indicates that the material only is

allowed to use for customer production orders or to keep the stock level above the vmin

(see appendix 1). No overproduction is allowed. In these cases an optimal material use

is to be preferred before an optimal production control. A classification of the grade of

critical situation is an advice. The notation of the critical material should favourable be

built in the tools used for the daily control of the production, at the moment the ZVER.

The function for indication of critical material can also be used to communicate a risk of

a material shortage between the PCB and the final assembly. A lack of capacity or

missing material in the PCB assembly can lead to a delayed internal delivery. In the

cases when the production planning is interrupt in the PCB assembly, the assemblies

affected should be marked as critical material. Through this the final assembly have the

possibility to avoid a real material shortage due to the warning, which signals to use the

assemblies only for customer production orders or to keep the stock level above the

vmin (see appendix 1).

The classification of the material shortage is an important function to the priority set to

the events of material shortage, to know which event that has to be handled first. The

classification is done in several steps. The first classification is done manually by the

discoverer and/or the problem analyst with his/her know-how and experience as a basis.

This classification is combined with an automatically generated classification. The

parameters that decide the automatically generated classification are:

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• Single or multiple use

• Demand until next planned delivery

• Location for discovering the material shortage

• Delivery lead time

• Second source - Yes/No

• Delivery lead time second source

Each parameter is weighted after its importance and from the manual and automatically

classification a priority list of the material shortage is generated.

The rescheduling of the production orders is today prepared manual, requiring quite a

lot of effort. This process can be automatized as far as the customer is not affected. The

material shortage tool should include a function where the demand is automatically

compared to the available material. If the demand is higher than the available stock the

production orders are rescheduled automatically. As soon as the planned production

date is exceeding the customer order delivery date the rescheduling has to be done

manual. In these cases an automatically generated e-mail should be sent to the

responsible material planner.

The indication of “out of material” is a function important to avoid double work. When

the material shortage is discovered and registered, the missing material or assembly is

marked. If there is another assembly or product that cannot be produced due to the same

shortage this material/assembly has not to be registered in the system. The production

controller sees directly that the material shortage is already discovered and can easily

control the status of the case and adapt the production plan.

The material shortage tool has a development and implementation time of six months to

one year. The needed investment is about 90’000-180’000 euro. The operative cost will

mainly be caused by support of the tool, but also for the extra effort needed in the

beginning before the employees get used to the system. The estimation of the operating

cost is about half a man-year the first and will decrease with about fifty percent to the

second year, see appendix 11.

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Material shortage management specialist

A concept that has been taken from the SBT factory in Berlin is the concept of hiring a

material shortage specialist, with the responsibility to manage the material shortage.

Material shortage is a very complex problem. If every problem is different it is difficult

to form a tool that is dynamic enough to be able to handle all these problems. To hire a

specialist is a very dynamic solution. The tasks of the material shortage specialist are to:

• Structure the work process of material shortage

• Control the material shortage management

• Control the progress of material shortage management

• Gather statistics about material shortage

• Develop a future concept for the material shortage management

Before a material shortage specialist can be hired a clear work description has to be

formulated. The outcome of this concept is highly dependent on finding a qualified

candidate, as the material shortage is a very complex problem. The specialist must

therefore have the right know-how. This concept is possible to combine with another

concept as e.g. the material shortage tool or the excel spreadsheet.

The development and implementation time for the concept is about three months,

mainly needed for the recruitment process. The investment cost is negligible. The

operating cost of a material shortage specialist is the cost of one man year,

approximately 120’000 euro, see appendix 11.

Standardized warehouse management system

A warehouse management system (WMS) is a part of the supply chain management

with the aim to control the movement and storage of materials within the warehouse and

the processes supporting the warehouse like shipping receiving and picking

(Inventoryops, 2008). SBT has a WMS used in the warehouse for final goods, handling

20 percent of the finished goods. The warehouses in the PCB and final assembly are

today controlled by systems with no continuing information updating with the SAP

system. The inventory differences are one of the major risks of material shortage and

insufficient warehouse management is one of the major sources. Through implementing

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a factory standardized warehouse management system the inventory differences can be

reduced as well as the material shortage. The already available WMS system can be

further developed and adapted to fit the whole factory. The outcome of a factory

standardized warehouse management system is less inventory differences, less effort

needed for inventories and less manual processes.

The development and implementation of a warehouse management system is a large

project and the time needed is estimated to one to two years, with an investment cost of

100’000 to 200’000 euro. The operating cost of the system is negligible, as the

operating cost of a new system can be compare to the current system, see appendix 11.

Extension of already available tools

There are many applications used in the SAP system today. To avoid an increasing

complexity of the SAP system there is always a desire to keep the number of

applications low. To introduce another application might be confusing and complicated

for the employees and due to that, lower improvements of the material shortage

management than expected. Another concept is therefore to develop a material shortage

management tool based on one of the applications already used within the daily

business. Some proposals how this can be done has been developed.

• Availability test for several process steps – extension of the SAP application ZVER,

see appendix 1: The ZVER is used to control the availability of the material. The

availability control is today done for each process separately. The process is started

if there is no material shortage, independent of the material status for next process.

In the PCB assembly is a break in the process chain a raise of the risk of material

shortage, due to the lack of resources and room. If there is a break due to material

shortage the assemblies have to wait between the processes until the material is

available and occupy important room. This risk can be eliminated through a

performance of the availability test for several process steps at one time.

• Notification of material shortage in the ZMIF, see appendix 1: The events of

material shortage are oft linked to each other. As soon as a material shortage is

discovered, this material or assembly should be marked with red, as well as all the

assemblies and products, which has this material or assembly included in the bill of

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material. In this way it is possible, for everybody using the ZMIF, to see that there is

a material shortage. A material shortage report should be attached to the material

data, to inform about the status about the material shortage and when and how it will

be solved. All the products that might be affected due to a shortage of the assemblies

including the material should be marked with yellow, which indicates to use the

assemblies only for production orders or to keep the stock level above the vmin, see

appendix 1.

This concept has to be further analyzed before the development can start. The

development and implementation can take approximately six months to one year, with

an investment cost of about the same magnitude as the material shortage tool, 90’000 to

180’000 euro. The estimative operative cost is about fifty percent of the operative cost

for the concept of the material shortage tool, see appendix 11.

6.1.3 Further measures of improvement

This chapter will handle the development of further measures to decrease the risk of

material shortage and the material shortage cost. The measures can be used in addition

to the developed concepts and will therefore not be evaluated.

Reduce/simplify manual processes

A manual process within the factory supply chain does always carry a certain degree of

risk of mistakes. By the incoming goods is there problems appearing due to the several

manual processes and the human factor. There are several measures to reduce this risk.

• Clear guidelines given to the suppliers, how to pack, label, and deliver the material,

in order to simplify the process. In this way the material can be transferred to the

warehouse without any repacking, remarking or controlling. This does not only

reduce the risk of handling mistakes, but does also speed up the receipts process.

• Automatize the process of incoming goods to eliminate the handling mistakes.

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The manual processes do also cause inventory differences leading to a risk of material

shortage. When material is taken out of the stock it is not booked out of the system until

after the production processes, to know exactly how much that has been consumed. This

is called retrograde booking of material use. This method is mostly used for small SMD

and THD components where the use can be hard to calculate beforehand. If the

retrograde booking is forgotten this further or later does cause an inventory difference.

This problem can be solved either by always book the material beforehand, when it is

taken out of stock, or by including a material booking function in the WMS. When the

material is taken from the stock it is reserved, and this status will be retained until the

exact amount is confirmed after the production process is ended.

Communication of material shortage via flat screens

There are several ways to communicate the material shortage, through telephone, e-mail

or direct contact. All of these do need an effort and it is never a guarantee that all the

information is communicated. The instrument for the information sharing must

therefore be considered. A reliable instrument for communication of the material

shortage is flat screens. When information about material shortage is available, the data

is evaluated and the significant numbers and figures are presented on flat screens. This

gives the employees a good overview of the material shortage situation without using

time and effort to search for the information. With flat screens on selected places within

the site presenting the right material shortage information it is not only a way to

communicate the information, but also a way to make the employees aware about the

material shortage. The awareness among the employees itself might have a positive

effect on the material shortage. To be able to use the flat screens in an efficient way a

method of evaluating the material shortage information has to be found.

The time needed before the flat screens can be implemented is highly dependent on the

concept chosen for the future material shortage management. When the material

shortage management concept is implemented and the needed information about

material shortage is available, will about 3 months be needed to implement the flat

screens. There are about ten screens needed and this will cause an investment of 30’000

euro, including software for developing the number and figures to illustrate the material

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shortage. The operative cost of the flat screens can be estimated to 5’000 euro per year,

see appendix 11.

Measurability of the material shortage

To be able to establish the improvement of the material shortage situation indication

factors must be measured. Key performance indicators (KPIs) are finical and non-

financial metrics to define measure and progress of an organization. KPIs are often used

to value activities difficult to measure, such as satisfaction, engagement and service

(About.com, 2008).

For success by using KPIs the following requirements have to be fulfilled:

• There must be clear goals and performance requirements for the material shortage

management defined

• A quantitative or qualitative measurement of the results must be able to execute in

order to compare with the set goals

To measure the material shortage management improvements KPIs has been monitored.

The monitored KPIs have to be specific, measurable, achievable, result-oriented and

time bound, which forms the acronym of SMART. The monitored KPIs can be seen in

table 2.

Category KPI Dimension

Material shortage cost Material costMaterial cost divided by the planned material cost

Material availability by ZVER

All opened orders without having a material shortage divided through all opened orders.

Inventory differences

All orders loaded at the mashines without a material shortage divided by all loaded orders

Material shortage risk

Table 2 KPIs for measuring the improvements of the material shortage management

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To be able to use the KPIs, methods for discovering the needed data has to be

developed.

6.2 Evaluation of a future material shortage management concept

The evaluation is based on the theory and analysis of the current situation. The

evaluation will follow the evaluation methodology of systems engineering, see chapter

3.4. In the first section the defined criteria will be presented, in the second section will

the evaluation of the concepts be presented and finally the decision making, used as a

basis of the recommendation of continuing work, will be presented.

6.2.1 Criteria for the material shortage concept

The criteria to fulfil for a future material shortage management concept are derived

from the situation analysis, requirement setting and the system delimitation. The criteria

will be used as a guide when the concepts are evaluated. The main criteria of the

material shortage management concept are to reduce the material shortage cost and

decrease the risk of material shortage. All the criteria are presented in table 3.

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Categories of criteria Characteristics of criteria Dimension of criteriaReduced risk It is a wish that the new material

shortage concept reduces the risk of material shortage.

Measurability The new concept should offer a possibility to measure the condition of the material shortage, in terms of cost and quantity.

Flexibility As there are a lot of changes within the supply chain management it is important that the concept is dynamic and can be adapted to changing requirements.

User-friendliness The solution will be used by people at all levels and should therefore be easy to understand, but also easy to use as the time consumption has to be low, not to increase the effort by material shortage.

Information flow It is a must that the new material shortage management concept accelerate the information flow

Short term impact The material shortage situation is quite critical at the moment and it is therefore important that the material shortage management concept brings a quick a change.

Return on Investment There is a wish to get a return on the investment in as a short time as possible

Development and implementation time

As the material shortage situation is critical it is important that the development and implementation time is short

Cost reduction The concept must reduce the material shortage cost

Financial criterion

General criterion

Table 3 Criteria for a future material shortage management concept

6.2.2 Variant evaluation and effect estimation

This chapter presents the evaluation of the six concepts. Each concept has been

evaluated after the criteria defined, see table 2. In order to identify strength and

weaknesses of each concept a strength and weakness analysis has been performed, see

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appendix 13. A benefit analysis has been performed for the quantitative comparison of

the concepts, see table 4.

We

igh

t (1

-10

)

Reduced material shortage risk 8 2 17 7 53 4 34 7 58 1 10

Internal late deliveries 10 3 30 8 80 5 50 5 50 0 0

Procurement: wrong/ missing/late delivery 8 3 24 5 40 0 0 0 0 4 32

Mistakes by managing received goods 6 0 0 0 0 0 0 7 42 0 0

Inventory differences 9 0 0 5 45 4 36 10 90 0 0

Expiring material 5 0 0 0 0 4 20 0 0 0 0

Measurability 5 7 35 7 35 5 25 2 10 4 20

Flexibility 6 2 12 1 6 10 60 3 18 1 6

User-friendliness 6 7 42 4 24 9 54 5 30 6 36

Information flow 8 5 40 9 72 4 32 0 0 7 56

Short term impact 5 10 50 1 5 7 35 4 20 1 5

Development and implementation time 5 10 50 5 25 8 40 2 10 5 25

Return on Investment 8 10 80 4 32 0 0 7 56 5 40

Cost reduction 10 4 40 7 70 6 60 9 90 6 60

Sum (Grade) 420 487 446 474 290

Ranking 4 1 3 2 5

CONCEPT

Mat

eria

l sh

ort

age

too

l

Exte

nsi

on

of

avai

lab

le

tool

Mat

eria

l Sh

ort

age

Man

agem

ent

spec

ialis

t

War

ehou

se

man

agm

ent

syst

em

Exce

l sp

read

shee

t

Table 4 Benefit analysis of the concepts, with weighting-scale of the criteria

The weighting-scale has been prepared based on the FMEA-analysis and discussions

with Mr. Wolfgang Zimmermann. The grading is based on management judgements,

also prepared in cooperation with Mr Zimmermann. The grading of the criteria short

term impact, development and implementation time, return on investment and cost

reduction have been based on a financial analysis of the concepts, see appendix 11.

6.2.3 Interpretation & assessment

Due to the evaluation figures each of the concepts can be assessed. Each concept will be

assessed individually and based upon these individual assessments a decision can be

formed.

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Excel spreadsheet

The concept of an excel spreadsheet obtained the fourth highest score in the benefit

analysis. The strength of the concept is the fast return on investment, see appendix 11,

and the short development and implementation time. Due to the short development and

implementation time the improvements can be reached in a very short time. The concept

is also very user friendly as the employees is already familiar with the concept. In the

long term perspective the concept will not lead to any major cost reductions or

reduction of the material shortage risk, but the concept is good as a first improvement of

the material shortage.

Material shortage tool

The material shortage tool obtained the highest score in the benefit analysis. There is a

large cost reduction possible due to an implementation of the material shortage tool, but

a high investment is required, the development and implementation time is long and the

break even point of the investment will not be reached until after at least three years, see

appendix 11. The major strengths of the material shortage tool are the improvement of

the information flow and the reduced risk of the material shortage, which are the main

criteria for a future concept to fulfil. The material shortage tool will not be very flexible.

If the material shortage situation will adapt, there will be quite a lot of effort needed to

change the concept. The user friendliness of the tool will be possible to impact,

depending on the interface used and the training process.

Material shortage management specialist

The concept of a material shortage management specialist obtained the third highest

score of the benefit analysis. This concept has one major drawback, the return on

investment. Due to the high operative cost the investment will never be paid back, see

appendix 11. To implement this concept a higher potential of cost savings must be

found. The concept can be used as a short term solution as the development and

implementation time is rather short and the return on investment can be reached due to a

long term improvement implemented by the specialist, still running when he/she has

ended his/her employment. The major strength of the concept is the flexibility, which is

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very important if the material shortage situation will change in the future. A major

weakness of the problem is to foresee the improvement of the material shortage

situation, as the outcome of this concept is highly dependent on finding a qualified

candidate.

Warehouse management system

The concept of a warehouse management system obtained the second highest score in

the benefit analysis. To develop and implement a warehouse management system takes

quite a long time, but the time for the return on the investment is rather short, see

appendix 11. This concept will mainly reduce the material shortage cost and risk, due to

reduction of the risk of mistakes by managing received goods, inventory differences and

internal late deliveries. The main strength of this concept is the reduction the risk of

material shortage. It is a concept which is difficult to adapt if the material shortage

situation changes, but on the other hand a warehouse management system does not only

bring a benefit within the material shortage. The daily work of the warehouse and

production members will be improved, which leads to a non quantifiable profit.

Extension of available tool

The concept of an extension of available tools obtained the lowest score in the benefit

analysis. This should be interpret with a certain caution as this concept is the one least

developed. With a further development of the concept it should be able to reach the

same score as the material shortage tool. The major advantage of the concept is the user

friendliness, and this criterion should not be underestimated. It is difficult to make any

further evaluation of the concept as it has to be further developed.

6.2.4 Decision

In this chapter a decision to form a future material shortage management concept on

will be presented. The decision-making is divided into two parts, a decision for a short

term solution and a decision for a long term solution.

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Short term solution

There is an urgent change needed within the material shortage and due to this are the

main criteria for a short term solution a short development and implementation time,

and a high short term impact. These criteria are best fulfilled by the concept of an Excel

spreadsheet or a material shortage specialist, see table 4. The later concept needs a

rather high investment, due to the high operative cost, and this implies a risk of a

negative cash flow. Due to that is the decision to implement the excel spreadsheet as a

short term solution.

The excel spreadsheet is only seen as one step in the direction of a new material

shortage management concept. This will give an improvement of the communication, a

small reduction of the material shortage cost and the material shortage risk, but also a

statistics about the material shortage situation to use as a basis for the evaluation of the

final material shortage management concept. Before the excel spreadsheet can be

implemented a last finish has to be done on the developed proposal, see appendix 10.

The time for the development and implementation, including the registration of the

spreadsheet on a central drive, testing and training will take approximately one week.

Long term solution

Outgoing from the benefit analysis is the material shortage tool the best concept for the

material shortage management. This concept will decrease the material shortage cost as

well as the material shortage risk. A further development of the concept is needed

before it can be implemented. Before the development starts it is recommended to wait

for the outcome of the excel spreadsheet. From the statistics gained, the evaluation is

possible to approve as well as the calculated material shortage cost, and the assessed

risks. The decision can than be based on a more certain analysis and evaluation.

In addition to the material shortage tool flat screens can be used to communicate the

material shortage. A finical analysis of the concept, see appendix 11, shows that a rather

small investment is needed, and that return on the investment is reached in

approximately six years. The development and implantation time is rather short.

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The flat screens is mainly a concept to communicate the material shortage, but it might

also lead to reduced material shortage risk due to internal late deliveries and

procurement problems. With the improved information flow and awareness about the

material shortage it might be easier to counteract a real material shortage. If it occurs

that the material shortage no longer has to be announced the screens can be used to

advertise other important issues. The investment will therefore never be useless

independent of what happens in the future.

An illustration of the future work for the next three years, and a cash flow analysis has

been executed of for the implementation of:

1. Excel spreadsheet

2. Material shortage tool

3. Flat screens

It has to be remembered that the cash flow is based on estimated data, but it illustrates a

possible cash flow. The analysis can be seen in appendix 14. According to the cash flow

analysis the return of investment will be reached within three years, with a fast rising

profit after the third year.

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7. Discussion

The aim of this chapter is to discuss the methods and strategies used for the analysis as

well as the obtained results. Through the discussion the reader can achieve a better

understanding about the complexity of the thesis and the difficulties that has been

encountered during the work.

The master thesis work has been supervised by Mr. Wolfgang Zimmermann. During the

whole project has a clear guidance been given by Mr. Zimmermann, which has

furthered the trouble-free proceeding of the work. Clear directions and objectives for the

project were given from the beginning. That in addition with the clear guidelines to use

the methodology of systems engineering made the start of the project very smooth and

successful. Due to the many interviews that could be executed early in the project an

excellent understanding about the problem was gained and a plan of the work procedure

could be formed.

The situation analysis was the major part of the thesis. The little documentation

available within the field of material shortage made it difficult to form a theoretical

framework to base the analysis upon, but a reasonably framework could be formed

thanks to the documentation within related subjects, like supply chain management and

supply chain risk management. The work was complicated through the non-existent

documentation and statistics about the material shortage within the factory. To approve

the assessment of the risk factors and the material shortage cost calculation it would

have been helpful if a structured statistical data gathering had been accomplish during

the beginning of the thesis work. This would not only have improved the situation

analysis, but also the development of solution and evaluation.

Due to the missing verification of the estimated material shortage cost and assessed

material shortage risk factors, was it difficult to evaluate the different concepts

developed, to calculate the possible cost savings and to give a clear recommendation for

the future. If the data would have been able to verify, the recommendations would have

been clearer, and the quality of the work and the satisfaction would have been even

higher. The final decision is rather left to be done in three to six month, when more

statistics are available to approve the calculation and assessments, than to base a

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decision upon uncertain data. However is the satisfaction with the results already high,

and it is visible that improvements will be reached even if only a small part of the

solution is possible to implement today.

The friendliness and helpfulness among the members of the factory supply chain has

improved the procedure of the work significant. The cooperation with the employees

has been thriving in the daily work, as well as during interviews and workshops. Due to

the close cooperation new and innovative concepts for a material shortage management

have been able to develop and analyze. Due to the close cooperation the author might

have been influenced by the opinion of certain employees in her work. A lot of the

information and instruction in the situation analysis as well as the solution search and

evaluation has been supported and confirmed by Mr. Zimmermann and the author might

have been particularly affected by his opinion.

During the whole thesis all the communication has been done in German, except during

the official presentations and the conversations with the supervisor Mr. Wolfgang

Zimmermann. The language differences have complicated the work, as it is harder to

express and understand in foreign language. A lot of the information in the situation

analysis is based on the interviews. They were all accomplished in German. A summary

were always written directly after each interview, but as this summary were written in

English it was never sent to the interview partner for a confirmation. There is a risks

that the author might have made false interpretations of the information, but the risk is

reduced due to the close distance to the employees and close cooperation with Mr.

Zimmermann and other members of the factory supply chain. If there were any

uncertainty, the interview partner could always be called on again, or someone else in

the near could be consulted.

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8. Conclusions

The aim of this chapter is to make the most important statements about the master

thesis, and present the conclusions from carrying out this investigation. The objectives

of the thesis were presented in the introduction, see chapter 1.2. In this chapter there

will be presented how each of this objectives have been fulfilled.

When this project was started five months ago, there was no clear definition of the

conception material shortage and the causes were relative unknown. A definition has

been prepared, see chapter 5.1.1, and the causes have been uncovered and assessed, see

chapter 5.1.2, according to the first objective. The definition and assessment is

important, but what has been even more important is that a cross-functional discussion

that has been going ahead. To prepare a definition and assess the causes everybody had

to begin think about his/her understanding and experience of material shortage, and

together they had to agree upon one definition and assessment. During this project has a

wider view and a major understanding of the problem material shortage been reached.

The factory supply chain is now unified upon one definition and understanding of the

conception material shortage

The information flow was successfully analyzed, see chapter 5.2, according to the

second objective. The conclusion about the information flow is that it is complex and

many of the processes are dependent on the experienced employees, and it will therefore

be difficult to reach an optimized information flow. Improvements are possible though,

but they have to be reached step by step.

One of the major questions within SBT before the thesis was commenced was how

much costs the material shortage causes. The question could be answered, according to

the third objective, and the answer was quite astounding, see chapter 5.3. The material

shortage causes a cost of 900 000 euro per year, one percent of the total turnover, which

is a considerable cost. Due to the missing statistics and documentation this number

cannot be approved, but it gives a feeling about the size of the cost. The conclusion

reached is that the material shortage is a big source for unplanned costs within SBT.

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The uncovering of the risk factors of material shortage gave a great number of risk

factors. Measures of improvements have been given for the five major risks. The

conclusion that has been made is that the risk factors are close related. A decrease of

one risk factor might increase or decrease another one. To impact the risk factors one by

one is therefore not recommended. The material shortage has to be observed as a

uniform problem and with the KPIs as a measurement of the improvement.

There can be one conclusion made about the general material shortage work within

SBT. There is a clear process needed for the documentation of information related to

material shortage. The experience among the employees is high and to assure that the

information they are carrying will not get lost when they leave the company it has to be

documented.

The conclusion shows that the objectives have been fulfilled, both the content

requirements given by ETH, Zürich, Switzerland, as well as the ones defined in

agreement with SBT.

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9. Recommendations for future research

This master thesis report gives a representation of the current material shortage situation

within SBT. The general depiction of the material shortage was missing before this

project and that was the main reason why the earlier material shortage projects never

have been accomplished. It is very important that the research of the material shortage

management will continue this time. To encourage the further research of the material

shortage management, recommendations for the research have been formulated.

A decision of a solution for a material shortage concept was formed from the solution

synthesis and the evaluation, see appendix 14. This decision is based on the data

generated during the master thesis work. This data has not been able to approve and due

to that is the recommendation to reconsider the decision when statistical data is

available. If the Excel spreadsheet is implemented within the next month, the gap of

missing statistics can be filled within three to four months.

Before it is finally decided that the material shortage tool is going to be developed the

advice is to evaluate the concepts explained in the thesis, as well as new ideas, again.

The same evaluation matrix can be used, see table 4, with adjusted weighting factors.

The evaluation criteria might also have to be adjusted. The development of SBT and the

factory supply chain management has to be considered in the final decision making.

SBT is in a phase of changes and when processes and strategies are changed the need of

the material shortage management might change. The chosen concept has to be useful

and profitable both today and in the long run.

Some milestones can be formed for the future research of the material shortage

management:

• Statistical measurement and evaluation of statistical data

• Definition of criteria for the material shortage management concept

• Evaluation and decision of material shortage management concept

• Development and implementation of material shortage management concept

• Development of methods to discover the data needed for the calculation of KPIs

• Regular control of the improvements of the material shortage through the KPIs

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• Development of a process for structured documentation of the material shortage

information

• Continuing improvement of material shortage management.

To assure that the material shortage management research will continue, it is

recommended to find someone responsible for the research, who regular makes

following up of the improvements of the research.

This thesis has given a basis for the future research of the material shortage. The factory

supply chain court is aware of the problem and desire to find a long term solution of the

problem. As the material shortage cost is now known, it is most likely that the research

this time will continue, and hopefully can a solution of the material shortage be found,

from a proposal given in this thesis or founded by someone else.

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List of abbreviations

DC Distribution Centre

ETH The Swiss Federal Institute of Technology

FMEA Failure Mode and Effect Analysis

GPL Global Procurement Logistics

HVAC Heating, Ventilation and Air conditioning Products

KTH The Royal Institute of Technology

KPI Key performance indicator

PCB Printed Circuit Board

SBT Siemens Building Technologies

SC Supply Chain

SCM Supply Chain Management

SCOR Supply Chain Operation Reference

SE Systems Engineering

SLF Sourcing Logistics Framework

SMD Surface Mounted Device

THD Through Hole Device

VMI Vendor Managed Inventory

WMS Warehouse Management System

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List of literature

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downloaded 20.02.2008.

Below, F. (ed.) (2000). Six sigma pocket guide – 34 Werkzeuge zur

Prozessverbesserung, TÜV Verlag, Köln, Deutschland.

Bogdanovic, J. (2007). Wareneingänge GJ 2007, Siemens Building Technologies

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Brassard, M./ Ritter, D. (1996). Memory Jogger 2, Schweizerische

Arbeitsgemeinschaft für Qualitätsförderung, Olten, Switzerland.

Christopher, M./ Peck, H./ Towill, D. (2006). A taxonomy for selecting global supply

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277-287.

Eriksson, L.T./ Wiedersheim-Paul, F. (1997). Att utreda, forska och rapportera, Liber

Ekonomi, Malmö, Sweden.

Fritz, P. (2007). Integriertes Prozess- und Projektmanagement Modell,

http://www.ippm.at.vu/, downloaded 06.11.2007.

Haberfellner, R./ Nagel, P./ Becker, M./ Büchel, A./ von Massow, H. (1994). Systems

Engineering - Methodic und Praxis (8th edition), Verlag Industrielle Organisation,

Zürich, Switzerland.

Hallikas, J./ Karvonen, I./ Pulkkinen, U./ Virolainen, V./ Tuominen, M. (2004). Risk

management processes in supplier networks, International journal of production

economics, Vol. 90, pp. 47-58.

Harland, C./Brenchley, R./ Walker, H.(2003). Risk in supply network, Journal of

purchasing and supply management, Vol. 9, pp. 51-62.

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Hertach, H. (2006). SAP-MMRF-Tool: Material-Management für Rüst- und

Fehlmaterial im Produktionsbereich, Internal documentation Siemens Building

Technologies, E:\Fehlmaterial_Management_Tool_Anforderungen_neu.doc.

Hieber, R. (2002). Supply chain management: a collaborative performance

measurement approach, vdf Hochschulverlag AG, ETH Zürich, Switzerland.

Inventoryops, http://www.inventoryops.com/warehouse_management_systems.htm,

downloaded 20.02.2008.

Jüttner, U. (2005). Supply Chain Risk Management – Understanding the Business

Requirements from a Practitioner Perspective, International Journal of Logistics

Management, Vol. 16, No. 1, pp. 120-141.

Kersten,W./ Blecker, T. (2006) Managing Risks in Supply Chains, Erik Schmid Verlag,

Berlin

Kvale, S. (1996). InterViews, Sage Publications, Inc., Beverly Hills, CA, United States

of America.

Larsson, A. (2006). Design and implementation of a Logistic Controlling System as

Bosch Packaging Services, Master Thesis spring 2006 TIØ 4740 Logistics, NTNU,

Norway.

Mack, K. R. (2007). Analyse und Optimierung der Kernprozesse des Supply Chain

Managements in Bereich Bildschirmstechnologie, Master Thesis 2007 Hochschule

Karlsruhe, Germany.

Meyer, U./ Creux, S./ Weber Marin, A. (2005). Grafische Methoden der Prozessanalyse

- Für Design und Optimierung von Produktionssystemen, Carl Hanser Verlag,

Germany.

Moser, B. (2007). Factory news October 2007, Siemens Intranet.

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Räder, A. (2007). SBT Global Manufacturing Quality Figures 09/2007, Siemens

Building Technologies internal documentation.

Siemens (a), Siemens AG group presentation 2008,

https://cpps.eps.siemens.com/irj/portal/ep/public/en/global-

02/?deeplink=https://gip1.eps.siemens.com/news/en/heute/2007/12/index/cn_20071228

_ufolien_en.htm, downloaded 01.02.2008

Siemens (b), BT group presentation 2008,

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01

Siemens (c), http://intranet.sbt.siemens.com/manufacturing/document/ppt.org_factory_

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Siemens (d), Method/tool: Sourcing Logistics Framework, internal documentation

Siemens Building Technologies, February 2008.

Schönsleben, P. (2004). Integral logistics management: planning and control of

comprehensive supply chains (2nd edition), St.Lucie Press, United States of America

Specker, A. (2001). Modellierung von Informationssystemen – Ein metodischer

Leitfaden zur Projektabwickling (2nd edition), vdf Hochschulverlag AG, ETH, Zürich,

Switzerland.

Ziegenbein, A. (2007). Supply Chain Risiken: Identifikation, Bewertung und Steurung,

vdf Hochschulverlag AG, ETH Zürich, Switzerland.

Züst, R. (1997). Einstieg ins Systems Engineering (3rd edition), Verlag Industrielle

Organisation, Zürich, Switzerland.

Supply Chain Council (2008). Supply-Chain Operations Reference-model (version 8.0),

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Wikipedia, http://en.wikipedia.org/wiki/Communication, downloaded 15.02.2008.

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Wänström, C./Lind, F./Winthertidh, O. (2006). Creating a model to facilitate the

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International Journal of Production Research, Vol.44, No. 18-19, pp. 3775-3796.

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Appendix 1. Interviews All the interviews were accomplished during the first month of the master thesis work.

The interviews were accomplished in German, the mother tongue of the interview

partners. German was used in order to create a relaxed mood and increase the possibility

for the interview partner to express the opinion. A questionnaire were prepared as a

basis for the interviews, but the interviews were accomplished more as discussion as an

interview, discussing the themes coming up. The interviews were held in sessions of 30

minutes to 1.5 hour.

These were the basis questions for the interviews:

• Where can material shortage appear (from your point of view)?

• What are the reasons?

• What is done today?

• Is there potential for improvement, in that case how and where?

• Is there a source of failure that is not considered today?

• Which errors occur most often?

• When an error is discovered, what is done?

- How das the process run?

- Who is the leader?

- Who is involved?

- What are the working recourses?

- How does the communication work?

- What is documented?

• How big is the cost for the material shortage in your area (estimation)?

• Is it possible to estimate the cost for the whole factory?

• Which problems in the field of material shortage would you like to improve, to

bring the most for you?

• Do you have ideas for improvement?

• If these ideas would be implemented, what would the cost saving be?

• What do you think about the tools that are available today in the field of material

shortage? Are you satisfied or is there potential for improvement?

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• How does the asset management affect the material shortage? If it causes more

material shortage what could a solution be (not bigger stocks)?

• How do you think that the vendor managed inventory (VMI) will affect the material

shortage?

The interview partners are listed followed by the e-mail, date for the interview and the

function of the partner.

1. Nico Stefanizzi ([email protected]), 03.10.2007

Responsible for Production and Sourcing Logistics, Volketswil

2. Bruno Isenschmid ([email protected]), 03.10.2007 Quality, Environment & Security and Inspection of receiving goods, Zug

3. Hermann Schärer ([email protected]), 03.10.2007 Manager Final Assembly Department. Zug

4. Benno Moser ([email protected]), 04.10.2007

Head Factory Zug

5. David Joho (david.joho@siemens .com), 04.10.2007 Logistic Process Initialization (Zug & Volketswil), earlier member of the PCB Assembly Department

6. Mario Kneubühler ([email protected]), 05.10.2007 Responsible of Sourcing and Production Logistics, Zug

7. Hugo Bischof ([email protected]), 08.10.2007 Distribution Logistic, Volketswil

8. Susy Schöni ([email protected]), 08.10.2007 Operative Procurement (Sourcing and Production Logistics), Volketswil

9. Tihomir Bevanda ([email protected]), 10.10.2007

Strategis procurement (Global Procurement Logistics), Zug

10. Urs Fässler ([email protected]), 10.10.2007 Manager Manufacturing Engineering, Zug

11. Andreas Räder ([email protected]), 30.10.2007

Global Quality Manager,all SBT factories Quality, Environment & Security and Inspection of receiving goods, Volketswil

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12. Reto Weber ([email protected]), 07.11.2007 HVP Stammhaus Controlling, Zug

13. Theophil Peter ([email protected]), 08.11.2007

Operative Procurement (Sourcing and Production Logistics), Zug

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Appendix 2. Workshops During the master thesis work was three workshops held. The agenda and the

participants of each workshop are presented.

Workshop 1, 09.11.2007 List of participants:

• Albert Bötschi Manager Logistic Process Initialization • Benno Moser Head factory Zug • Bruno Isenschmid Manager Quality, Environment & Security and

Inspection of receiving goods • David Joho Logistic Process Initialization • Heinrich Hertach Logistic Process Initialization • Hubert Gisler; Manager Assembly area B final assembly • Josef Birrer Manager PCB Assembly department • Jörg Kündig PCB Assembly • Josef Schönenberger PCB Assembly • Ralf Leschke Final assembly • Reto Weber HVP Stammhaus Controlling Zug • Theophil Peter Sourcing and Production Logistics • Wolfgang Zimmermann Supply Chain Manager Agenda of the workshop

• Introduction of the master student and the master thesis • Brainstorming material shortage risk factors • Priority set of risk factors and analysis of available material shortage tools with

FMEA • Cause and effect mapping in order to find the material shortage information flow Workshop 2, 28.11.2007 List of participants:

• Albert Bötschi Manager Logistic Process Initialization • Bruno Isenschmid Manager Quality, Environment & Security and

Inspection of receiving goods • David Joho Logistic Process Initialization • Heinrich Hertach Logistic Process Initialization • Hubert Gisler; Manager Assembly area B final assembly • Josef Birrer Manager PCB Assembly department • Jörg Kündig PCB Assembly • Josef Schönenberger PCB Assembly

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• Ralf Leschke Final assembly • Theophil Peter Sourcing and Production Logistics • Wolfgang Zimmermann Supply Chain Manager Agenda of the workshop:

• Priority setting of the material shortage risk factors and analysis of available tools with FMEA

• Optimization of the material shortage information flow • Analysis of the material shortage cost, cost factors and the allocation Workshop 3, 07.01.2008 List of participants:

• Albert Bötschi Manager Logistic Process Initialization • Bruno Isenschmid Manager Quality, Environment & Security and

Inspection of receiving goods • Benno Moser Head factory Zug • Herman Schärer Manager final assembly • Josef Birrer Manager PCB Assembly department • Mario Kneubühler Sourcing and Production Logistics • Wolfgang Zimmermann Supply Chain Manager Agenda of the workshop:

• Presentation of current stand of the master thesis • Brainstorming and discussion of solutions for a material shortage management

concept

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Appendix 3. SAP functions related to the master thesis SAP is the world's leading provider of business software, delivering products and

services that imporove the business innovation for their customers. Siemens Building

technologies is using the system SAP R/3, where “R” stands for real-time and ”3”

relates to a 3 tier client-server architecture (database layer, application layer and

presentation layer). The system has five major enterprise applications: enterprise

resource planning, customer relationship management, product lifecycle management,

supply chain management and supplier relationship management.

For the SAP enterprise resource planning system Siemens has developed own

applications. Applications relevant for the understanding of the master thesis will be

shortly described in this appendix.

Production information system ZMIF

The ZMIF is an application developed for the daily production planning within SBT.

For the factory in Zug is it used for 95 percent of all production planning (goal to

achieve in March 2008). The products and assemblies are either produced to stock or to

order. For the production to stock is the requirement to keep the available stock between

vmin (minimal stock level) and vmax (maximal stock level) level. These levels are

based on the actual demand. The production orders in the ZMIF are a sum of both the

assemblies and products produced to order and to stock, but the ones that is a real

customer order has a higher priority. The production is planned for each shift by the

operating employees at each line. In the beginning of the shift the operator starts the

ZMIF. In the system he/she chooses to priority according to the different filters, in order

to find the most critical production orders. The production has to act either when there

is a real customer order or the stock level is approaching the vmin. With this type of

planning the production can run with optimized batch sizes and the flexibility is

improved after the lean production concept.

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Availability test with ZVER

When the production of a product or assembly is decided the material availability has to

be tested before the production can be approved. This is done with the function ZVER.

If the material is available the message “No material shortage found” appears on the

screen and the planned production order can proceed. If there is a material shortage, it is

visible in the ZVER what material is missing and how much that is available. Oft can a

part of the planned production order proceed and this selection is done according to the

priority set with the filter function in the ZMIF. When the production order can not be

fulfilled the order is placed in a failure list and the order has to be planned to a later date

when the material is available.

Application for the daily business of Sourcing & Production Logistics

The department Sourcing and Production Logistics has the responsibility of the

operative procurement of material. In the daily business of the material planner the

material procurement has to be planned and control. The SAP system is used for the

procurement planning and to control the procurement is the application MD04 used.

With the MD04 application the material planner can control the procurement through

the identification of exceptional cases. Through filtering of the material data the critical

cases, where there is too little ordered, can be identified and controlled. In this way a

material shortage can be avoided.

The SAP application ZRW0 is used in order to foresee the material shortage. A

selection of available functions of the application is listed:

• Where do I have an emergency

• Where have I ordered to little

• Where have I ordered to much

• Primary demand to low

The two first functions have a close relation to the material shortage, as this is where the

material planner has the possibility to foresee the material shortage. The aim of the

functions is good, but the warning is drawn up to late and the material shortage can not

be prevented.

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ise o

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ion

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ied

by a

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y

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OW

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vent

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Appendix 5. Failure Mode and Effect Analysis

No. Failure Mode Effect of Failure Current control P S D R CommentReceipt controlDunning

Inventory differences

Bar code

2 Missing retrograde booking

3a ZMIF-scheduling: Production of the wrong assembly

3b ZMIF-scheduling: Use of the wrong material

4 Missing Kanban cardInsufficient master data:

Inventory differences

Inventory differences

incorrect bill of For customer: + no impact - problem

P.R.A.

7

No data due to pre-selection

Mistakes by managing received goods

Material wrong placed into 6

No data due to pre-selection

7

More effort with differences

No data due to pre-selection

No data due to pre-selection

1

294

3 8 5 120

5a

Mistakes by assembling

The principle of "4 Eyes"

R=PxSxD: Priority of risk High<= 1000 Moderate<= 250 Low <= 125 None = 1

P: Probability of occurrences Improbable 1 Very low 2 - 3 Low 4 - 6 Moderate 7 - 8 High 9 -10

S: Seriousness of failure Barely noticeable 1 Unimportant failure 2 - 3 Moderate failure 4 - 6 Big failure 7 - 8 Very big failure 9 -10

D: Likelihood that defect reach customer Unlikely 1 Very low 2 - 3 Low 4 - 6 Moderate 7 - 8 High 9 -10

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No. Failure Mode Effect of Failure Current control P S D R CommentInsufficient master data:

Delayed good arrival Express delivery 6 4 3 72

incorrect delivery lead time

Material shortage in PCB-assembly

"100%" confirmation of orderMaterial shortage excel-file SMD-Sourcing & Production Logistics (one-way only)

Material shortage in final-assembly

Missing (final-assembly) 3 8 8 192

5c Insufficient master data: incorrect scrap factor

Inventory differences

Inventory

4 9 9 324

Basis for calculation is erroneous

Missing4 5 1 20

5d Insufficient master data: incorrect lead time

Material is delivered to late to the final-assemblyWrong planning data

6 Procurement - Missing/wrong/

PCB-assembly no material

Verify available asset 5 4 6 120 Safety stock

late deliveries Final-assembly no pre-assemblies

SAP-ZMB1DC SAP-ZRW0 6 7 6 252 Extra effort in PCB-

assembly (GAP)

Production logistics SAP 7 4 2 56

Binding of resources in Sourcing & production logistics

7

Expiring material Material no longer available-early proclamation

Material proclamation process 6 4 3 72

Material no longer available- late proclamation

4 8 9 288

5 2 70

*Is only a little used

5b

P.R.A.

5 7 2106

Work plan*

7

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No. Failure Mode Effect of Failure Current control P S D R Comment8 Inventory

differencesMaterial shortage in PCB-assembly

Inventory3 9 6 162

Material shortage in final-assembly

3 9 8 216

Delivery problems 2 9 10 180

Material shortage discovered in Sourcing & Prod. Log.

5 8 3 120

Additional asset*

No material shortage, but increased liquidation cost.

9 No access to material

Production disturbance PCB-assembly

Missing4 4 2 32

Productivity

Production disturbance final-assembly

Missing2 3 2 12

Possible to avoid

10 Internal late deliveries

PCB-assembly unable to produce

SAP-MD046 6 6 216

Final-assembly unable to produce - delivery problems

SAP-ZMIF

8 7 7 392

11 Deficient material management: warehouse controlled by different systems

No data due to pre-selection

P.R.A.

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Appendix 6. Information flow mapping The information flow mapping is presented in eight flow chart diagrams. The relations

of the diagrams can be seen in figure A6.1.

Figure A6.1. The hierarchy of the information flow model.

The flow charts can be seen in figure A6.2 – A6.9.

Discovered in goods receipts & inspection (4.1)

Context diagram (1)

Inspection of receiving goods(3.1)

Factory supply chain (2)

PCB assembly (3.3) Sourcing & Production Logistics (3.2)

Discovered in production (4.2)

Discovered sourcing & production logistics (4.3)

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Figure A6.2. The top level (context diagram (1), see figure A6.1) of the information flow mapping. The information flow of the factory supply chain is analyzed and the environment is the suppliers, the customers and the supporting SAP system. There

are four main group of customers, Landis+Gyr, level 1 customers, OEM customers and the distribution centre in Nürnberg.

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Figure A6.3. The second level of the information flow mapping, the factory supply chain (2), see figure A6.1. The material flow is the bold, black flow and the information flow is the dotted, coloured lines. The information flow has two significances;

all the information goes through the department of Sourcing and production logistics and there is no direct information flow between the functions of the factory supply chain.

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Figure A6.4. The information flow of the goods receipts & inspection (3.1), see figure A6.1. The material flow is the black, bold lines and the information flow is the coloured, dotted lines. When there is quality problem is the decisions about how to

sort the problem out done direct in the department.

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Figu

re A

6.5.

Th

e in

form

atio

n flo

w in

the

Sour

cing

& P

rodu

ctio

n Lo

gist

ics (

3.2)

, see

figu

re A

6.1.

The

info

rmat

ion

flow

is d

ivid

ed in

to th

ree

case

s; m

ater

ial s

hort

age

is d

isco

vere

d in

the

good

s rec

eipt

s & q

ualit

y in

spec

tion

(bro

wn,

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ted

line)

, mat

eria

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dis

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in th

e pr

oduc

tion

(vio

let,

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d lin

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nd

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eria

l sho

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red

in a

dvan

ce (b

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dot

ted

line)

.

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Figure A6.6. The information flow in the PCB-assembly (3.3), see figure A6.1. All the information of material shortage is sent to the sourcing & production logistics via phone call or e-mail. There are cases where the information is not

communicated at all as it is forgotten. There is no direct communication of the material shortage between the two producing entities of the PCB-assembly.

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Figure A6.7. The information flow in the Sourcing & Production Logistics if the material shortage is discovered in the Goods receipts & quality inspection (4.1), see figure A6.1. The cases where there is a material shortage due to quality or

identification problem cause the department rather low effort.

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Figure A6.8. The information flow in the Sourcing & Production Logistics if the material shortage is discovered in the production (4.2), see figure A6.1. This case of material shortage causes the department quite a lot of effort and is also time

consuming.

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Figure A6.9. The information flow in the Sourcing & Production Logistics if the material shortage is discovered in advance (4.3), see figure A6.1. This information flow is counted to the daily business of the department. One of the most important

tasks of the department is to avoid the material shortage to break through to the production.

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Appendix 7. Excel spreadsheet for communication of material shortage (existing)

Im QMMenge

Im QMTermin

Am LagerMenge

Am LagerTermin

Warum FM, Bemerkungen Verf. Ausw.

Layout - Aend. Neuer Index G

3762 2008-02-20

Datum Erf. Fehlmat. Fauf Betr. BG / ASNLin. Disp NeuerL-Term.

NeueMenge

30.01.2008 BUT 7450201690 ZMIF 17958 1 HK 2008-02-29 500004.02.2008 BUT 443176420 30274666 466848306 1 KE ? 260005.02.2008 ROL 7450207300 ZMIF 7466809586 2 RK 22.02.08 2800007.02.2008 ROL 7450206200 ZMIF Div. 1 SA 21.02.08 510002008-02-13 BUT 27954 ZMIF 17956 SMD 3 HK2008-02-13 BUT 452514890 ZMIF 17957 SMD 3 HK 28.02.08 90002008-02-15 ReM 7476500030 30274274 7462011040 5 DG 27.02.08 25002008-02-18 BUT 7450204710 30276211 466845176 3 KE 25.02.08 4502008-02-20 BUT 7450206200 ZMIF 7466803286 12008-02-20 BUT 7450206200 ZMIF 7466803326 12008-02-20 BUT 7450206200 ZMIF 7466804110 12008-02-20 BUT 7450206200 ZMIF 466847896 2

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Appendix 8. Material shortage cost calculation The material shortage cost consists of:

• Additional effort for employees due to material shortage. (The analysis includes the

production departments, the sourcing & production logistics, the global procurement

logistics, and the inspection of receiving goods.)

• Additional material costs (e.g. due to by-pass suppliers)

• Time and performance loss in the production due to downtime in the process

The cost of the resources is based on following data:

• One man-hour: 75 euro

• One man-year: 220 days or 1800 hours

• One hour downtime in the SMD assembly: 155 euro

Costs due to additional work effort

Inspection of receiving goods

The data for the calculation were collected through interviews with the manager of the

inspection of receiving goods, Bruno Isenschmid. There are two types of quality

complaints; F2 and Q2. The F2 remarks are the problems discovered in the good

receipts test and the Q2 remarks are the problems discovered in the production. The

number of F2 remarks leading to material shortage can be estimated to those remarks

where the material has to be returned. Q2 remarks do always lead to a material shortage

as the problem is discovered to late to have time to act. This assumption gives 140 cases

of material shortage due to F2 remarks and 120 cases due to Q2 remarks (Bogdanovic,

2007). A F2 shortage takes one hour to solve while a Q2 shortage takes three hours to

solve. The calculation can be seen in table A8.1.

PCB assembly

For the SMD assembly the data was collected through an interview with Thomas

Bucher, member of the SMD assembly. He estimared the time effort pro case and

number of cases pro week. Statistics were also gathered for one month to approve the

estimation. For the THD assembly the data for the calculations were collected through

an interview with Josef Schönenberger, member of the THD assembly, where a similar

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estimation was done. In the SMD assembly is there about two cases of material shortage

per day and each case takes one hour, in total 440 hours per year. In the THD assembly

is there about one case pro day and each case takes half an hour to solve, in total 110

hours per year.

Final assembly

The data for the calculations were given by the manager of the final assembly

department, Hermann Schärer. The work effort per year was estimated through the

estimation of the work effort per day for each employee. This estimation was done by

each employee of the assembly segment A. The same effort was estimated for the

assembly segment B. The total effort is about 1,6 man-year. The calculation can be seen

in table A8.1.

Sourcing and production logistics

The calculations are done for two different cases of material shortage; when the material

shortage is discovered in the inspection of receiving goods and when it is discovered in

the production. The data used for the calculations were collected through interviews

with several employees within the department of souricing and production logistics. The

estimations were done outgoing from the information flow mapping, where the time

needed for each process was estimated. The results of the estimation and the

calculations can be seen in table A8.1 and figure A8.1.

The time effort used for solving the material shortage in advance is not included in the

cost, as this task is a part of the daily business of the department. The cost has been

calculated anyway to show the dimension of this cost. The work is done daily and the

yearly time is approximately 80 hours per material planner. The department consists of

12 employees. The calculation can be seen in table A8.1.

Global procurement logistics

The work effort of global procurement logistics (GPL) was estimated through the

estimation of the work effort for each employee of one entity of GPL, the entity for

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electronically parts. This effort was doubled to get the total effort. The calculation can

be seen in table A8.1.

Cost due to additional material cost

The additional material cost is registered by the sourcing and production logistics and

the global procurement logistics. The statistics given by sourcing and production

logistics are not complete, but correspond to approximately one third of the total cost.

The statistics shows a cost of 103 000 euro, times three makes 310 000 euro.

Cost due to time and performance loss

The time and performance loss due to machine downtime has the most noticeable affect

in the SMD assembly. This cost is therefore excluded in the calculation for all the other

departments. For each case of material shortage in the SMD assembly is there a

machine downtime of one hour and there are about two cases per day, in total 440 hours

per year. The calculation can be seen in table A8.1.

DepartmentTime (h)

Cost (€/h) Cost (€)

Allocation of cost

1. Cost due to additional work effort (cost of daily business excl.) 503'250 € 57% Inspection of receiving goods 500 75 € 37'500 € PCB-assembly SMD-assembly 440 75 € 33'000 € THD-assembly 110 75 € 8'250 € Final assembly 2'800 75 € 210'000 € Sourcing and production logistics 115'000 € Cost of daily business avoiding material shortage 960 75 € 72'000 € 8% Global procurement logistics 2'400 75 € 180'000 €2. Cost due to additional material cost 310'000 € 35%3. Cost due to time and perfomance loss 440 155 € 68'200 € 8%Total material shortage cost 881'450 € 100%

See figure A8.1

Table A8.1. Calculations of the material shortage cost

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Figure A8.1. The calculation of the material shortage cost in the Sourcing and production logistics due to additional work effort. The cost is calculated outgoing from the effort needed for each process of the solving of the material shortage.

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Appendix 9. Optimized information flow mapping The optimized information flow mapping is presented in six flow chart diagrams. The

relations of the diagrams can be seen in figure A9.1.

Figure A9.1. The hierarchy of the optimized information flow model.

The flow charts can be seen in figure A9.2 - A9.6.

Context diagram (1)

Inspection of receiving goods (3.3)

Factory supply chain (2)

PCB assembly (3.1) Sourcing &

Production Logistics (3.4)

Final assembly (3.2)

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Figure A9.2. Context diagram (1) , see figure A9.1, of the optimized information flow. The bold, black flow is the material flow and the dotted flow is the information flow. The red flow is what has to be manual communicated and the green flow can

be automized

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Figure A9.3. The information flow on the factory supply chain level (2, see figure A9.1). The bold, black flow is the material flow and the dotted flow is the information flow. The red flow is what has to be manual communicated and the green flow

can be automized. The purple processes are the two most significant part of the model. The upper one is the process of keeping statistics about the material shortage. The lower one is the process of solving the material shortage. Not all

information goes through this process, but a lot of information is sent direct between the entities of the factory supply chain.

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Figure A9.4. The information flow within the PCB-assembly (3.1), see figure A9.1. The bold, black flow is the material flow and the dotted flow is the information flow. The red flow is what has to be manual communicated and the green flow can be

automized.

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Figure A9.5. The information flow within the final assembly (3.2), see figure A9.1. The bold, black flow is the material flow and the dotted flow is the information flow. The red flow is what has to be manual communicated and the green flow can be

automized.

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Figure A9.5. The information flow of the identification of receiving goods (3.3), see figure A9.1. The bold, black flow is the material flow and the dotted flow is the information flow. The red flow is what has to be manual communicated and the green

flow can be automized.

Figure A9.6 The information flow within the sourcing and production logistics (3.4), see figure A9.1. The bold, black flow is the material flow and the dotted flow is the information flow. The red flow is what has to be manual communicated and the

green flow can be automized.

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Appendix 10. Concept: Excel spreadsheet

The excel spreadsheet is divided into two parts. The blue part is to be filled out by the

person discovering the material shortage, see table A10.1.

Dep. NameProduction

order

STATISTICSMATERIAL SHORTAGETo be filled out by the discoverer

Discoverer

Date MaterialLineConcerned assemblies

Additional effort

[min/h]

Machine breakdown time [min/h] Reason for material shortage

Table A10.1. Part of excel sheet to be filled out by the person discovering the material shortage. The

left part contains the information about the material shortage and the right part the

statistics.

The pink part of the excel spreadsheet is to be filled out by the person solving the

material shortage, see table A10.2.

Dep. Name Supplier

In inspection or in stock

(quantity)Quantity delivered

Material available

(delivery date)Date

SolutionSolver

To be filled out by the problem analyst

Additional effort [min/h]

Additional material

cost Reason for material shortage

MATERIAL SHORTAGE STATISTICS

Table A10.2. Part of excel sheet to be filled out by the person solving the material shortage. The left

part contains the information about the material shortage and the right part the

statistics.

To make it easier to fill in the statistics lists to select from are prepared, see table A10.3.

Fifteenth different reasons can be chosen from and nine different time periods. The

same selection lists are used both for the discoverer and the problem analyst

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Table A10.3. Selection lists for filling in the statistics.

1 <10 min2 10-20 min3 20-30 min4 30-45 min5 45-60 min6 1-1.5 h7 1.5-2 h8 2-3 h9 >3 h

Short command for time

1 Insufficient quality2 Wrong delivery 3 Missing/late delivery4 Incorrect delivery lead time5 Inventory differences6 Incorrect lead time7 Raise of demand/ forecast is to low8 Capacity problem9 Engineering change situation

10 Phase-in/phase-out11 Technical problem in process/Process breakdown12 Problem with Kanban13 Internal late delivery14 Material in wrong stock15 Unknown

Select list for possible reasons

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Appendix 11. Financial analysis of concepts

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ROI Excel spreadsheet

0

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Figure A11.1. Return on investment (ROI) of the concept Excel spreadsheet.

ROI Material shortage tool

0

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s InvestmentCost savings

Figure A11.2. Return on investment (ROI) of the concept material shortage tool

ROI Material shortage m anagm ent specialis t

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Figure A11.3. Return on investment (ROI) of the concept material shortage management specialist

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ROI Warehouse management system

0 €

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s InvestmentCost savings

Figure A11.4. Return on investment (ROI) of the concept warehouse management system

ROI Extension of available tools

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Figure A11.5. Return on investment (ROI) of the concept extension of available tools

ROI Flat screens

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Figure A11.6. Return on investment (ROI) of the concept flat screens

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Appendix 12. Concept: material shortage tool

Figure A12.1. Sequence diagram describing the function of the material shortage tool

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Figure A12.2. Flow chart diagram 1.1: Sequence diagram of the material shortage solving with the

material shortage tool within the Sourcing and production logistics.

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Figure A12.3. Flow chart diagram 1.2: Sequence diagram of the material shortage solving with the

material shortage tool within the PCB assembly.

For the understanding of the material shortage the directions given in figure A12.1 will be explained. Description 1 (D1) Registration of manual data (discoverer): • Material number • Assembly number • Description of material shortage • Classification • Statistics Description 2 (D2) Automatically generation of data: • Entry date • Discoverer • Department • Responsible material planner • Responsible product manager • Classification

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• Asset in incoming goods and inspection of received goods - amount • Asset in other warehouse locations - amount • Planned delivery – amount and date Description 3 (D3) Registration of manual data (problem analyst): • Status material shortage • Statistics Description 4 (D4) Automatically generation of data: • Date for status change • Administrator • Rescheduled order date • Indication critical material • Indication out of material Outgoing from this data can reports and e-mails about the material shortage be formed in order to communicate and prevent the material shortage.

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Appendix 13. Strength and weakness analysis of the concepts

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Appendix 14. Implementation plan and cash flow analysis

TimeMeasure Mar Apr May June July Aug Sept OctImplementation of Excel spreadsheet

Excel based spreadsheet in run

Evaluation of results

Evaluation and decision about final material shortage conceptDevelopment of material shortage toolImplementation of material shortage tool

Material shortage tool running

Develoment of flat screens conceptImplementation of flat screen concept

Flat screens concept running

Investment cost 0 € 0 € 0 € 10'000 € 10'000 € 10'000 € 10'000 € 10'000 €

Operating cost 625 € 625 € 625 € 625 € 625 € 625 € 625 € 625 €

Cost reduction 0 € 2'000 € 3'000 € 3'000 € 3'000 € 5'000 € 5'000 € 5'000 €

Cumulative total cost 625 € 1'250 € 1'875 € 12'500 € 23'125 € 33'750 € 44'375 € 55'000 €

Cumulative cost reduction 0 € 2'000 € 5'000 € 8'000 € 11'000 € 16'000 € 21'000 € 26'000 €

Cash flow -625 € 750 € 3'125 € -4'500 € -12'125 € -17'750 € -23'375 € -29'000 €

2008

Time 2011Measure Nov Dec Jan-Jun Jul-Dec Jan-Jun Jul-Dec Jan-JunImplementation of Excel spreadsheet

Excel based spreadsheet in run

Evaluation of results

Evaluation and decision about final material shortage conceptDevelopment of material shortage toolImplementation of material shortage tool

Material shortage tool running

Develoment of flat screens conceptImplementation of flat screen concept

Flat screens concept running

Investment cost 10'000 € 10'000 € 130'000 € 0 € 0 € 0 € 0 €

Operating cost 625 € 625 € 0 € 2'500 € 2'500 € 2'500 € 2'500 €

Cost reduction 5'000 € 5'000 € 40'000 € 50'000 € 60'000 € 75'000 € 75'000 €

Cumulative Total cost 65'625 € 76'250 € 206'250 € 208'750 € 211'250 € 213'750 € 216'250 €

Cumulative cost reduction 31'000 € 36'000 € 76'000 € 126'000 € 186'000 € 261'000 € 336'000 €

Cash flow -34'625 € -40'250 € -130'250 € -82'750 € -25'250 € 47'250 € 119'750 €

2008 2009 2010