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© SAP AG LO935 Preface-1 SAP AG 1999 LO935 Flexible Planning Flexible Planning Flexible Planning SAP AG R/3 System Release 4.6C Mai 2001 Material number 50047186

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  • SAP AG LO935 Preface-1

    SAP AG 1999

    LO935 Flexible Planning

    Flexible PlanningFlexible Planning SAP AG

    R/3 System

    Release 4.6C Mai 2001 Material number 50047186

  • SAP AG LO935 Preface-2

    SAP AG 2001

    Copyright 2001 SAP AG. All rights reserved.No part of this publication may be reproducedor transmitted inany form or for any purpose without the express permission ofSAP AG. The information contained herein may be changedwithout prior notice.

    All rights reserved.

    Copyright

    Trademarks: Some software products marketed by SAP AG and its distributors contain proprietary software

    components of other software vendors. Microsoft, WINDOWS, NT, EXCEL, Word, PowerPoint and SQL Server are registered

    trademarks of Microsoft Corporation. IBM, DB2, OS/2, DB2/6000, Parallel Sysplex, MVS/ESA, RS/6000, AIX, S/390,

    AS/400, OS/390, and OS/400 are registered trademarks of IBM Corporation. ORACLE is a registered trademark of ORACLE Corporation. INFORMIX-OnLine for SAP and INFORMIX Dynamic ServerTM are registered trademarks of

    Informix Software Incorporated. UNIX, X/Open, OSF/1, and Motif are registered trademarks of the Open Group. HTML, DHTML, XML, XHTML are trademarks or registered trademarks of W3C, World Wide

    Web Consortium, Massachusetts Institute of Technology. JAVA is a registered trademark of Sun Microsystems, Inc. JAVASCRIPT is a registered trademark of Sun Microsystems, Inc., used under license for

    technology invented and implemented by Netscape. SAP, SAP Logo, R/2, RIVA, R/3, ABAP, SAP ArchiveLink, SAP Business Workflow, WebFlow,

    SAP EarlyWatch, BAPI, SAPPHIRE, Management Cockpit, mySAP.com Logo and mySAP.com are trademarks or registered trademarks of SAP AG in Germany and in several other countries all over the world. All other products mentioned are trademarks or registered trademarks of their respective companies.

  • SAP AG LO935 Preface-3

    SAP AG 1999

    Information Systems

    Processes in Salesand Distribution

    LO150 5 daysLogistics InformationSystem (LIS)Reporting

    LO930 2 days

    Level 2 Level 3

    Processes inProcurement

    LO020 5 days

    ManufacturingPlanning & Executionfor Discrete & Repetitive

    LO050 5 days

    Executive InformationSystem (EIS) 2 -Setting up the System

    AC620 2 days

    Advanced Functionsof the Report Writer

    CA710 3 days

    Advanced LISConfiguration

    LO940 2 days

    Technical Aspects inLIS with Special Focuson PURCHIS/INVCO

    LO555 2 days

    Technical Aspects inLIS with Special Focuson PPIS

    LO275 2 days

    Technical Aspects inLIS with Special Focuson SIS

    LO630 2 days

    Executive InformationSystem (EIS) 1 -Reporting

    AC615 2 days

    Basics of the ReportPainter/Report Writer

    CA705 2 days

    Flexible PlanningLO935 2 days

  • SAP AG LO935 Preface-4

    SAP AG 1999

    Prerequisites

    z Essential:Good knowledge of content of LO930 - LogisticsInformation System (LIS) Reporting

    z Recommended:LO050 - Manufacturing Planning & Execution for Discrete &Repetitive

  • SAP AG LO935 Preface-5

    SAP AG 1999

    Target group

    z Project team members responsible for planning inthe Logistics Information System

    Notes to the user The training materials are not teach-yourself programs. They complement the course instructors

    explanations. On the sheets, there is space for you to write down additional information.

  • SAP AG LO935 1-1

    SAP AG 1999

    Course Overview

    z Course Goalsz Course Objectivesz Course Contentz Course Overview Diagramz Main Business Scenario

    Contents:

  • SAP AG LO935 1-2

    SAP AG 1999

    This course will enable you to:

    z Plan based on information structuresz Use the planning tools in the LIS systemz Summarize the uses of the planning methods and

    differences between themz Maintain master data for various planning methods

    Course Goals

  • SAP AG LO935 1-3

    SAP AG 1999

    On completing this course, you will be able to:

    z Outline the differences between Standard SOP andFlexible Planning

    z Create sales and production plansz Use the forecast toolz Create planning types, macros and eventsz Perform resource planning and rough-cut capacity

    analysisz Use mass processingz Transfer planning results to Demand Management

    Course Objectives

  • SAP AG LO935 1-4

    SAP AG 1999

    Unit 7 Events

    Unit 8 Production Planning

    Unit 9 Mass Processing

    Unit 10 Allocations

    Unit 11 Conclusion

    Unit 1 Introduction

    Unit 2 Planning Methods

    Unit 3 Master Data

    Unit 4 Planning Types and Macros

    Unit 5 General Planning Functions

    Unit 6 Statistical Forecast

    Preface

    Appendices

    Course Contents

  • SAP AG LO935 1-5

    SAP AG 1999

    Course Overview

    Planning Method

    Stat. Forecast

    MayMay

    Master Data

    Events

    Production Planning

    Allocations

    InfoStructure

    Mass ProcessingJob

    Planning Functions

    Planning Types

  • SAP AG LO935 1-6

    SAP AG 1999

    z You are a member of your companys planningimplementation team. Define your info structure,that means your planning levels (characteristics)and key figures you want to plan.

    Business Scenario

  • SAP AG LO935 1-7

    SAP AG 1999

    Quantities and dates...

    Order and rate proposals BOM explosion Scheduling at work

    centers

    Production controlledby run scheduleheaders

    Production ordercontrol

    MPS/MRPMPS/MRP

    RepetitiveManufacturingRepetitiveManufacturing

    SFCSFC

    Statement ofdemand

    SKUs/configurable materials DemandManagement

    DemandManagement

    .

    .

    .

    Sales organizationDivisionSold-to partyMaterialPlant

    Sales plansProduction plans

    .

    .

    .

    SOPSOP

    Logistics Planning Systems

    Sales & Operations Planning (SOP) is the planning tool of the Logistics Information System (LIS). Sales & Operations Planning (SOP) is a flexible forecasting and planning tool with which sales,

    production, and other supply chain and logistics targets can be set. The basis for this is provided by historical, existing, and/or estimated future data. Planning with SOP is generally carried out on a medium to long term basis. Resource planning can also be carried out to determine the amounts of the work center capacities and other resources required to meet these targets. SOP supports both the high-level planning of complex planning hierarchies and the detailed planning of finished products. Therefore, either a top-down or a bottom-up approach to planning is possible.

    The architecture of the logistics planning systems is based on the MRP II concept.

  • SAP AG LO935 1-8

    SAP AG 1999

    Sales Planning

    Production Planning

    Purchasing

    Retail

    Business Applications of SOP

    SAP AG

    In SOP, you can plan future sales volumes on the basis of historical data as well as market intelligence and anticipated trends and changes at your company. Aggregate sales planning is possible. Sales plans can be kept consistent at all levels of your organization.

    Sales planning provides the input for production planning. You typically carry out production planning at product group, finished product, or SKU level.

    With SOP, you can manage the allocation of scarce products to different customers or customer groups.

    Complex products manufactured in a large number of variants can also be planned. Possible uses of SOP in purchasing are the planning of quotas for multiple sources of supply or the

    tracking of purchasing budgets. In retail, you can use the SOP system to plan purchasing budgets and monitor open-to-buy.

  • SAP AG LO935 1-9

    SAP AG 1999

    Period unit

    Characteristics

    157

    398

    Key figures

    Versions

    RegionSales organizationMaterialPlantetc.

    Incoming ordersInvoiced salesetc.

    Day Week Month Fiscal year variant Flexible time buckets

    X

    A00 Active000 Actual data001 Forecast based on trend model002 Sales incl. market intelligenceetc.

    A00 Active000 Actual data001 Forecast based on trend model002 Sales incl. market intelligenceetc.

    Info Structure Definition

    Sales & Operations Planning uses the same data infrastructure as the logistics information systems (e.g. the Sales Information System). In other words, planning data as well as actual data is stored in information structures.

    There are three different types of information in an information structure: Characteristics are criteria by which data reduction is carried out: e.g. sales organization,

    distribution channel, customer, material, and plant. Periods are time units which give the information structures a time reference. Planning data is

    displayed and stored per storage periodicity. This is not necessarily the same as the update period of the information structure.

    Key figures are values of particular business interest: e.g. incoming sales and production quantities. Historical key figure values give a measure of business performance.

    In addition, SOP allows you to maintain alternative planning scenarios in the same information structure. You do this using planning versions. Version A00 is the active planning version. Use it to maintain your definitive plan. Inactive versions are numerical and consist of three digits. Use them to maintain test plans.

    Remember that version 000 contains actual data. Do not plan version 000.

  • SAP AG LO935 1-10

    SAP AG 1999

    Info structure

    EUROPE

    Central

    Paris

    Characteristics

    USA

    North South

    New York Dallas

    RegionSales organizationSales officeMaterial

    (Product groupings or materials)

    North America

    Flexible Planning: Master Data

    The objects you plan in SOP depend on the characteristics in the info structure, and on the sequence of the characteristics in the info structure.

    By defining the values of the planned characteristics, you create the master data for flexible planning.

    Some of you may know the above structure as the sales forecast hierarchy (SFH).

  • SAP AG LO935 1-11

    SAP AG 1999

    Multiple options forcustomized configuration

    Planning hierarchies

    Consistent, level-by-level,or delta planning

    Content and layout ofthe planning table isuser-defined

    Flexible Planning

    Largely preconfigured

    Product groups

    Level-by-level planning

    Standard planning table

    Standard SOP

    Flexible Planning vs. Standard SOP

    Sales & Operations Planning is made up of two elements: flexible planning and standard SOP. The above table shows you the differences between them.

    To access flexible planning, select Logistics Logistics Controlling Flexible planning. To access standard SOP, select Logistics Production SOP. You can copy the planning table of standard SOP and then modify it to suit your companys needs.

  • SAP AG LO935 1-12

    SAP AG 1999

    Rules

    AutomaticPeriodicFlexible

    Update

    S001

    S730

    Copy datafrom one info structureto another

    Info structures

    S140

    Use of Copy Management in Planning

    Copy Management is a tool for managing data in information structures. In Sales Operations Planning, you can use it to copy actual data from a standard information

    structure to the information structure you want to use for planning. You can therefore carry out comparisons of planned and actual data.

    Using Copy Management to populate your planned information structures with actual data has performance advantages. Operative system load is minimized due to the decrease in the number of info structures that are updated. (You can also supply planned information structures with actual data through LIS updating.)

    Another possible use of Copy Management would be to copy data you have planned in one information structure to information structure S140, where you then plan product allocations.

    You access Copy Management in Customizing for the Logistics Data Warehouse.

  • SAP AG LO935 1-13

    SAP AG 1999

    AdditionalInformation

    Material masterCustomer masterDocuments

    .

    .

    .

    Sales organization: US Sales office: US North

    CustomerIncoming orders

    Jones, Inc.Smith, Inc.

    25,00035,000

    20,00030,000

    Sales organization: US

    Sales officeIncomingorders

    Invoicedsales

    60,00040,000

    50,00040,000

    Analysis of S730Incoming orders

    Invoicedsales

    100,000 90,000Drill downto sales offices

    Sales organization

    US

    Drilldown tocustomers

    US NorthUS South

    Invoicedsales

    Standard Analyses: Reporting Techniques

    You can run a standard analysis for any planning version based on consistent planning. Choose Environment Reporting.

    You can store the standard analysis as a selection version. A selection version is not the same as a planning version.

  • SAP AG LO935 1-14

    SAP AG 1999

    Classification

    ABC Analysis

    AA B CCCustomers

    Sales orders

    Incoming orders

    Materials (%)

    Dual Classification

    Order value No.orders

    Cumulative Curve

    12/95 1/96 2/96 3/96 4/96 5/96

    Invoiced sales

    Planned/Actual Comparisons

    Previous/Current Year Comparison: InvoicedSalesCustomer Planned Actual Difference %

    Customer 1 $30,000 $40,000 $10,000 +33%Customer 2 $66,000 $70,000 $ 4,000 +6%Customer 3

    Customer SalesCustomer Sales Orders Orders No No.. orders orders

    BaxterBaxter 5000 3000 100 5000 3000 100TaylorTaylor 9000 15000 3000 9000 15000 3000CrowthCrowth 6000 9500 750 6000 9500 750

    Standard Analyses: Analytical Techniques

    A wide range of functions can be used to examine the underlying key figures and characteristic values of an analysis from a business perspective. All the functions for statistical analyses are graphically supported.

  • SAP AG LO935 1-15

    SAP AG 1999

    z SOP is the planning tool of the LogisticsInformation System.

    z Sales & Operations Planning (SOP) can be used toplan sales, production, and other supply chain andlogistics activities.

    z The Logistics Information System and Sales &Operations Planning have the same datainfrastructure.

    z Sales & Operations Planning is made up of twoelements: Flexible planning and standard SOP.

    Introduction: Summary

  • SAP AG LO935 2-1

    SAP AG 1999

    Planning Methods

    z Uses of the planning methods

    z Consistent planning

    z Level-by-level planning

    Contents:

  • SAP AG LO935 2-2

    SAP AG 1999

    On completing this unit, you will be able to:

    Planning Methods: Unit Objectives

    z Explain the differences between the planningmethods

    z Outline the features and benefits of eachplanning method

    z Maintain Customizing for Flexible Planningz Summarize performance enhancements

  • SAP AG LO935 2-3

    SAP AG 1999

    Course Overview

    Planning Method

    Stat. Forecast

    MayMay

    Master Data

    Planning Functions

    Planning Types

    Events

    Allocations

    InfoStructure

    Mass ProcessingJob

    Production Planning

  • SAP AG LO935 2-4

    SAP AG 1999

    Planning Methods: Business Scenario

    z You are a member of your companys planningimplementation team. The info structure for the newSOP planning initiative is already created. Now youmust decide which planning method will meet yourcompanys requirements best.

  • SAP AG LO935 2-5

    SAP AG 1999

    Level-by-level Top-down

    Consistent Bottom-up & top-down

    Planning Methods

    SOP supports both top-down and bottom-up planning. These two approaches are supported in different ways by the different planning methods. It is

    important to consider your choice of planning method carefully. You cannot define more than one planning method for any information structure. However, you can

    always create a new information structure with another planning method and copy over the original data using Copy Management.

  • SAP AG LO935 2-6

    SAP AG 1999

    Material AM001 is selected from planning hierarchy

    Automatic disaggregationRegion Material Plant Planned qty Proportion

    New Jersey AM001 0001 600 60 %New Jersey AM002 0001 - New Jersey AM003 0001 -New Jersey AM004 0001 -

    California AM001 1001 400 40%California AM002 1001 -California AM003 1001 -

    You enter an order quantityof 1000 pc. for material AM001:

    Create Consistent Planning

    Consistent planning has two main advantages: Ease of use: you plan your data at one level and can rely on data consistency at all other levels. You can create planning data from any perspective you want.

    The value of the total in relation to the details is determined by the proportional factors. Equally, the value of one detail in relation to another detail is determined by the proportional factors. For more information on the proportional factors, see Unit Master Data.

    In the above example, disaggregation is based on the proportional factors.

  • SAP AG LO935 2-7

    SAP AG 1999

    Region Material Plant Order quantity

    New Jersey AM001 0001 600New Jersey AM002 0001 100 New Jersey AM003 0001 150New Jersey AM004 0001 50

    California AM001 1001 400 California AM002 1001 200California AM003 1001 100

    Region Material Plant Order quantity

    New Jersey AM001 0001 1200New Jersey AM002 0001 100 New Jersey AM003 0001 150New Jersey AM004 0001 50

    California AM001 1001 800 California AM002 1001 200California AM003 1001 100

    1000

    2000

    You change incoming orders from 1000 to 2000:

    Change Consistent Planning

    Planning data can be accessed from any level. You determine the combination, or set, of characteristic values that you want to plan by the values you enter in the initial dialog box when you call the planning screen; in consistent planning, you can specify any, all, or no characteristic values.

    Data is aggregated dynamically when you call the planning table. In the above example, material AM001 is selected for planning. The order quantities of this material

    are being planned in all regions and plants. The planner changes the total order quantity from 400 to 800 units. Disaggregation is carried out automatically and is based on previously planned data.

  • SAP AG LO935 2-8

    SAP AG 1999

    Bulbs

    Consistent Planning Views

    With the consistent planning method, you have a consistent view on your planning data at all times - whatever level you decide to plan at. In technical terms, the sum of the key figures at the detailed level gives the key figure at the total level.

    The above example shows two possible views: the central planning of all lightbulbs in the US and the decentralized planning of standard-sized lightbulbs in New Jersey

    Planning levels are interdependent: changes you make at one planning level have an immediate effect on all the other planning levels. The system carries out aggregation and disaggregation automatically at runtime.

    Planning is based on a self-defined information structure. Your view on the planning table is non-hierarchical.

  • SAP AG LO935 2-9

    SAP AG 1999

    Characteristcs

    Sales organization

    Distribution channel

    Material

    Order quantity stored

    10 pc 20 pc 5 pc 30 pc

    Order quantity visible

    10 pc 20 pc 5 pc 30 pc

    30 pc 35 pc

    75 pc

    Key figure

    Save Consistent Planning

    In consistent planning data is stored at detailed level. If you enter the planning table at aggregate level the key figure values are aggregated.

    This procedure has two advantages: You plan your data at one level and can rely on data consistency at all other levels. You can create planning data from any perspective you want.

  • SAP AG LO935 2-10

    SAP AG 1999

    Incoming orders quantityIncoming orders quantity Incoming orders quantityIncoming orders quantity

    100 0

    100 100

    40

    40

    Original plan

    Sales organization

    Distribution channel

    Material

    Changed plan

    50

    20 10 15 5 20 10 15 5 20 10 15 5

    50

    Master dataMaster data

    75 40

    20 10 15 5

    75 40

    50

    30 20

    50

    Planned incoming order quantities are changed from 30 pc and 20 pc to 75 pc and 40 pc at distribution channel level

    Foreground Saved Foreground Saved

    30 20

    Level-By-Level Planning

    In level-by-level planning, the planning hierarchy levels are independent of each other. Data is stored separately at each planned level.

    You have a hierarchical view of the data in the planning table. No automatic aggregation or disaggregation is carried out. Plans at different levels are not

    necessarily consistent.

    In level-by-level planning, changes you make at one level are not automatically fed through to other levels.

    It is possible to impose data consistency across several planning levels. To disaggregate data, you must use the function Edit -> Disaggregate line in the planning table. Disaggregation is then based on the constant proportional factors from the planning hierarchy. To aggregate data, you must define an aggregation macro in the planning type.

    The advantage of level-by-level planning is that you get a chance to check your data before passing it on to other levels.

  • SAP AG LO935 2-11

    SAP AG 1999

    Consistent Planning Level-By-Level PlanningPlanned values saved at detailed level only.

    Entire planning hierarchy can be planned in one transaction (no characteristic values selection).

    Planning table can be called with gaps in list of selected characteristic values.

    Planning values are visible:(i) for the characteristic values combination you enter (ii) at the detailed level(iii) at all levels in between

    Identical key figures planned at total and detailed level.

    Key figures are defined in the planning type once only.Macros can be calculated at any level.

    Planned values can be saved at all levels.

    At least one characteristic value must be specified.Each level must be planned and disaggregatedindividually

    Planning table must be called without gaps in list ofselected characteristic values.

    Planning values are visible:(i) for the characteristic values combination you enter(ii) at the level below that

    Key figures at owner and member levels can be different.

    Key figures must be defined at both owner and memberlevels in the planning type.Macros can be calculated at either owner or memberlevel, depending on how you have defined them.

    Consistent vs. Level-By-Level

    Standard SOP always uses the level-by-level planning method. Standard SOP is based on information structure S076.

  • SAP AG LO935 2-12

    SAP AG 1999

    FunctionAutomatic aggregationAutomatic disaggregationbased on factors saved in databaseAutomatic time-dependentdisaggregation based onprevious planning dataCreate planning hierarchyPlanning types/macrosSet opening stockautomatically in backgroundForecastEventsResource levelingBackground processingFix key figure values in theplanning tableLong texts for versions andperiods in the planning tableStandard analysis for info structureTransfer to Demand Management

    ConsistentYesYes

    Yes

    YesYesYes

    YesYesYesYesYes

    Yes

    YesYes

    Level-By-LevelNoNo

    No

    YesYesYes

    YesYesYesYesNo

    Yes

    NoYes

    Comparison of the Different Planning Methods

  • SAP AG LO935 2-13

    SAP AG 1999

    Key figureparameters

    Planning method

    Field catalogs:characteristics

    Field catalogs:key figures

    Defineinformation

    structureDefinemacros

    Define planning typeDefine planning type

    Define screen layout

    Planningunits

    Customizing for Flexible Planning

    Before working with flexible planning, you must first make a number of settings in Customizing: for example, you must define the planning method of each information structure.

    You can use only one planning method to plan an information structure. To plan an information structure with a second planning method, create a second information

    structure based on the first one and then copy over the actual data using Copy Management. Then define the planning method of this new information structure.

    You must define the planning units of each information structure. These are: currency unit

    period unit (storage periodicity) unit of measure

    It may happen in either consistent planning or level-by-level planning that the base unit of a material is different than the base unit of the information structure. In this case, you maintain the base unit of the information structure as an alternative unit in the material master record, together with a conversion factor.

  • SAP AG LO935 2-14

    SAP AG 1999

    Performance Enhancements

    z No user exitsz No zero column usagez No event usagez Do not save to forecast DBz Planning object check offz Key-figure-restricted DB update offz ALE permittedz Document key figure

    You access the settings listed above in the Customizing activity Set parameters of info structures and key figures. They are all designed to improve the performance of your information structures. Two of them are explained in the following notes. For a description of the others read the F1 help.

    Planning object check off: If you set this indicator, you improve performance. However, the system does not perform the following checks: Are the selected characteristic value combinations in the planning hierarchy? They might be in actual data of the information structure, but not in the planning hierarchy. Has the planning hierarchy been revised? In the master data menu of Flexible Planning, you have an option for revising the planning hierarchy. This option allows you to exclude one or more characteristic value combinations (planning objects) from the planning process. When you call the planning table, the system checks to see which characteristic value combinations are to be planned for this information structure.

    Key figure restricted DB update off: If you set this indicator, you improve performance. However, the system cannot save two planning types of an information structure simultaneously because ALL the key figures in the information structure are read when a planning type based on the information structure is saved. If you do not set this indicator, the system automatically locks and saves only those key figures that are contained in one planning type. This means that two or more planning types of an information structure can be saved at the same time.

  • SAP AG LO935 2-15

    SAP AG 1999

    Planning Methods: Unit Summary

    z Explain the differences between the planningmethods

    z Outline the features and benefits of eachplanning method

    z Maintain Customizing for Flexible Planningz Summarize performance enhancements

    You are now able to:

  • SAP AG LO935 2-16

    Data Used in the Exercises

    Data Data in Training System Data in IDES System Information Structure

    S630 to S650 S140

    S630 to S650 S140

    Sold-to Customers 1001, 1175 1002,1012,1033,1174, 1300, 1670, 1671, 1900, 1901, 2004, 2140, 2200, 2300, 2500, 14000, 99999

    1001, 1175 1002,1012,1033,1174, 1300, 1670, 1671, 1900, 1901, 2004, 2140, 2200, 2300, 2500, 14000, 99999

    Sales Organization 1000 1000 Distribution Channel

    12 12

    Division 00 when ordering 04 when planning

    00 when ordering 04 when planning

    Materials L-40C, L-40F, L-40R, L-40Y L-60C, L-60F, L-60R, L-60Y L-80C, L-80F, L-80R, L-80Y

    L-40C, L-40F, L-40R, L-40Y L-60C, L-60F, L-60R, L-60Y L-80C, L-80F, L-80R, L-80Y

    Plant 1200 1200 Storage Location 0001 0001

  • SAP AG LO935 2-17

    Exercises

    Unit: Planning Methods Topic: Planning Methods

    Explain the differences between the three planning methods.

    Your sales/forecasting department would like to see changes made to your plan at all levels of the planning structure, at the time the plan is changed. Therefore, the consistent planning method best suits the planning requirements of your organization.

    1-1 Using the Implementation Guide (IMG), verify the planning parameters of your info structure S630 + ##. The parameters should have AT LEAST the following:

    Field Name Input Data Planning Method Exchange rate type Statistics currency Base unit of measure Planning periods Capacity figure

    1-1-1 What is the menu path in the IMG for changing the planning parameters for an info structure?

    The information message The table is client-independent., is advising you that each change you make will have an effect on all other clients in the system. Press Enter to continue.

  • SAP AG LO935 2-18

    Solutions

    Unit: Planning Methods Topic: Planning Methods

    1-1 Using the Implementation Guide (IMG), verify the planning parameters of your info structure S630 + ##. The parameters should have AT LEAST the following:

    Field Name Input Data Planning Method K (Consistent) Exchange rate type M Statistics currency UNI Base unit of measure CAR (carton) Planning periods M Capacity figure

    1-1-1 What is the menu path in the IMG for changing the planning parameters for an info structure?

    The information message The table is client-independent.. , is advising you that each change you make will have an effect on all other clients in the system. Press Enter to continue.

    Tools o ASAP o Customizing o Edit Project o SAP Reference IMG Logistics - General o Logistics Information System (LIS) o Planning o Master data o Set parameters for info structures and key figures Or Production o Sales and Operations Planning (SOP) o Master data o Set parameters for info structures and key figures Scroll down to your info structure S6## and then double-click on the table

  • SAP AG LO935 3-1

    SAP AG 1999

    Master Data

    z Planning hierarchy

    z Product group

    z Proportional factors

    z Version management

    Contents:

  • SAP AG LO935 3-2

    SAP AG 1999

    On completing this unit, you will be able to:

    Master Data: Unit Objectives

    z Name the differences between master data forFlexible Planning and Standard SOP

    z Explain how to create master dataz Outline the role of the proportional factors

  • SAP AG LO935 3-3

    SAP AG 1999

    Master Data: Course Overview

    Planning Method

    Stat. Forecast

    MayMay

    Master Data

    Events

    Allocations

    InfoStructure

    Mass ProcessingJob

    Production Planning

    Planning Functions

    Planning Types

  • SAP AG LO935 3-4

    SAP AG 1999

    Master Data: Business Scenario

    z Your company builds its forecast based on thehistory of invoiced quantity for the same quarter ofthe previous year. You expect your product mix tobe consistent. Therefore, you can build yourplanning hierarchy and calculate your proportionalfactors based on this history.

  • SAP AG LO935 3-5

    SAP AG 1999

    CharacteristicsCharacteristics ValuesValues

    Salesorganization

    Sales office

    Customer

    Material

    USAEurope

    Paris Dallas Boston

    Jones, Inc. Smith, Inc.

    L - 40F L - 100FL - 60F L - 100CL - 60C

    Characteristic Values to be Planned

    You create the master data for Flexible Planning by specifying the values of the characteristics you want to plan. You do this in a planning hierarchy.

    For consistent planning and level-by-level planning, you need to create a planning hierarchy before you can plan.

    A planning hierarchy is based on an information structure. You can create only one planning hierarchy per information structure.

  • SAP AG LO935 3-6

    SAP AG 1999

    Info structure

    EUROPE

    Central

    Paris

    Characteristics

    USA

    North South

    New York Dallas

    RegionSales organizationSales officeMaterial

    (Product groupings or materials)

    North America

    Planning Hierarchies

    The objects you plan in SOP depend on the characteristics in the info structure, and their sequence. By defining the values of the planned characteristics, you create the master data for Flexible

    Planning. You do this in a planning hierarchy. You can only create one planning hierarchy per information structure.

    In a planning hierarchy, the characteristic values represent the organizational levels at which you want to plan.

    To create a planning hierarchy manually, select Master data -> Planning hierarchy -> Create from the Flexible Planning menu.

    You have already defined the default units of a planning hierarchy in the Customizing step Set parameters of info structures and key figures. These are period unit, base unit of measure, and currency.

  • SAP AG LO935 3-7

    SAP AG 1999

    1997 1998

    Characteristic value combinationsfound in version 000

    xxxxxxxx

    xx

    x

    xxx

    xxxxxxxx

    xEur Central Paris M1Eur Central Paris M2Eur Central Paris M3Eur Central Paris M4Eur Central Paris M5

    USA North NY M7USA North NY M8

    USA North NY M6

    x

    USA South Dal. M11USA North NY M10

    USA South Dal. M12USA South Dal. M13USA South Dal. M14USA South Dal. M15

    USA North NY M9 Data is filtered using method

    USA South Dal. M16 xxUSA South Dal. M17

    x

    x

    Automatic Creation of a Planning Hierarchy

    You can create a planning hierarchy automatically on the basis of actual data (version 000) or existing planned data (versions A00-999).

    To create a planning hierarchy automatically on the basis of actual data, select Master data -> Generate master data.

    It is often not necessary, or even desirable, to plan all products that are sold to all customers, including materials that are hardly ever sold. SAP offers you two ways to filter out characteristic value combinations (i.e. data records) for planning: specify a time frame

    define your own method in Customizing A method is a program or programs written by your company to perform a clearly defined, highly

    specific task when certain conditions are fulfilled. For example, a method allows you to perform complex transformations on statistical data.

    One possible method would be to select materials or customers by their ABC indicator. For example, you might want to plan A materials individually, and B and C materials in collective planning objects.

    You can simulate the results of this automatic creation function. This lets you see how many characteristic value combinations would be found in the specified time frame and therefore helps you decide how best to create the planning hierarchy.

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    SAP AG 1999

    Info structure S624

    Paris

    L-40F

    Europe USA

    Dallas

    Smith, Inc.

    Boston

    40% 60%

    100% 50% 50%

    100% 100%

    30% 20% 50%

    12%12% 21%21%20%20%8%8% 24%24%

    Jones, Inc. Baker, Inc.

    70% 30% 20% 80%

    100%

    6%6%9%9%

    L-60F L-100F L-40F L-60F L-60F L-100F

    Proportional Factors for Consistent Planning

    In consistent planning, disaggregation is based on the proportional factors between the total level and the detailed level.

    You can store constant proportional factors in the planning hierarchy. These proportional factors are not specific to any one key figure, characteristic value, or period.

    There are two ways to calculate constant proportional factors for consistent planning:

    Using actual data Using the proportions already maintained between adjacent levels in the planning hierarchy

    To calculate the proportional factors for consistent planning on the basis of actual data, select Master data -> Calculate proportions -> Using actual data from the flexible planning menu.

    To calculate the proportional factors for consistent planning on the basis of the level-to-level proportions in the planning hierarchy, select Master data -> Calculate proportions -> Using planning hierarchy from the flexible planning menu.

    You can override the constant proportional factors in the planning table at any time. If you do this, however, subsequent disaggregation is based on the new proportional factors which the system derives from the detailed planning data, and not on the constant proportional factors. To re-apply the constant proportional factors to a specific key figure in the planning table, you must select Edit -> Disaggregate line.

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    SAP AG 1999

    Info structure S625

    Paris

    L-40F

    Europe USA

    Dallas

    Smith, Inc.

    Boston

    40% 60%

    100% 50% 50%

    100% 100%

    30% 20% 50%

    Jones, Inc. Baker, Inc.

    70% 30% 20% 80%

    100%

    L-60F L-100F L-40F L-60F L-60F L-100F

    Proportional Factors for Level-By-Level Planning

    Using proportional factors, you describe the dependencies of the individual nodes in a planning hierarchy or a product group hierarchy more closely. These factors allow you to disaggregate planning data through the planning hierarchy. Whether or not this happens automatically depends on the planning method (see Unit Planning Methods).

    In level-by-level planning, disaggregation is based on the proportional factors between adjacent planning levels. This applies both to Standard SOP and to information structures in Flexible Planning for which level-by-level planning has been defined.

    You can create these proportional factors manually or automatically.

    In most cases, you base this calculation on the actual data in version 000. However, you can also use any planning version.

    To create the proportional factors for level-by-level planning automatically, you have two choices: Either create them for a single level in the planning hierarchy or product group with Edit

    Calculate proportions Or create them for multiple levels of the planning hierarchy or product group with Master data

    Calculate proportions Using actual data or Product group Calculate proportions

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    SAP AG 1999

    LightbulbsLightbulbsPlant 9999Plant 9999

    Line "frosted"Plant 0001

    40 wattPlant 0001

    60 wattPlant 0001

    40 wattPlant 0002

    60 wattPlant 0002

    100 wattPlant 0002

    Line "clear" Plant 0002

    Product Group Hierarchy

    You create the master data for standard SOP by maintaining one or more product groups. The members of a product group can be either further product groups or materials. In a product group, you can group together products according to any criteria (distribution,

    production method, and so on). For each product group, the system creates a material master record of material type PROD. Enter both product groups and materials with a plant reference. For each product group member, enter a description, a unit of measure, a units of measure

    conversion factor (if the unit of the member is different than the owner unit), and an aggregation factor.

    Cross-plant planning is possible. Planning can be carried out at material or product group level Use level-by-level planning with product groups. Standard SOP always uses the level-by-level planning method. Standard SOP is based on information structure S076.

  • SAP AG LO935 3-11

    SAP AG 1999

    InfoStructure

    A00Active Version

    000Actual Data

    001Simulation 1

    002Simulation 2

    UpdatingDemand Mgt.

    Copy

    Version Management

  • SAP AG LO935 3-12

    SAP AG 1999

    Master Data: Summary

    z Name the differences between master data forFlexible Planning and Standard SOP

    z Explain how to create master dataz Outline the role of the proportional factors

    You are now able to:

  • SAP AG LO935 3-13

    Exercises

    Unit: Master Data Topic: Planning Hierarchy

    Explain the two ways of creating master data for flexible planning. Outline the role of the proportional factors.

    Your company builds its forecast based on the history of invoiced quantity for the same quarter of the previous year. You expect your product mix to be consistent. Therefore, you can build your planning hierarchy and calculate your proportional factors based on this history.

    1-1 The following is the forecast input sheet your organization has been using to load forecasts into your legacy system. It shows actual data collected for the prior year, allowing space for your sales force to enter the sales forecast in currency values. Your info structure S630 + ## already supports this format. Create a planning hierarchy for your info structure that supports the data on the following sheet:

    Sales Organization 1000 Germany Frankfurt Division 04 Lighting, Customer 1000 Becker Berlin Plant 1200

    Material L-80F 80 Watt Frosted Light bulbs Month+1 Month+2 Month+3 Month+4 Month+5 Last Years Invoiced Sales 10000 11000 12000 13000 14000 Last Years Invoiced Qty 1000 1100 1200 1300 1400 Sales Forecast Qty Material L-40C 40 Watt Clear Light bulbs Month+1 Month+2 Month+3 Month+4 Month+5 Last Years Invoiced Sales 5000 6000 7000 8000 9000 Last Years Invoiced Qty 500 600 700 800 900 Sales Forecast Qty

  • SAP AG LO935 3-14

    Sales Organization 1000 Germany Frankfurt Division 04 Lighting, Customer 1175 Elektromarkt Bamby Plant 1200

    Material L-60C 60 Watt Clear Light bulbs Month+1 Month+2 Month+3 Month+4 Month+5 Last Year s Invoiced Sales 10000 11000 12000 13000 14000 Last Year s Invoiced Qty 1000 1100 1200 1300 1400 Sales Forecast Qty Material L-80F 80 Watt Frosted Light bulbs Month+1 Month+2 Month+3 Month+4 Month+5 Last Year s Invoiced Sales 5000 6000 7000 8000 9000 Last Year s Invoiced Qty 500 600 700 800 900 Sales Forecast Qty Material L-40C 40 Watt Clear Light bulbs Month+1 Month+2 Month+3 Month+4 Month+5 Last Year s Invoiced Sales 2500 3000 3500 4000 4500 Last Year s Invoiced Qty 250 300 350 400 450 Sales Forecast Qty

    1-1-1 Based on this input sheet, what are the planning levels you will enter into your planning hierarchy?

    1

  • SAP AG LO935 3-15

    1-1-2 Based on the above structure, begin entering your planning hierarchy. When creating the planning hierarchy for the first time, leave the

    characteristics blank.

    A message will be displayed about the proportional factors. Because we are not entering proportional factors, press All maintnce to bypass this message.

    Don t forget to enter the data for both Sold-to Parties.

    Leave all the aggregation and proportion factors blank for now, because we will let the system calculate the proportions based on actual data.

    1-1-3 What is the menu path for this function?

    1-1-4 Display the hierarchy graphic for your planning hierarchy thus far. How many boxes (nodes) does it have?

  • SAP AG LO935 3-16

    1-2 You have decided entering the planning hierarchy is a tedious task. Since you forecast based on your history of invoiced quantity, automatically build your planning hierarchy based on last 12 month (including the actual month). When you perform this function for the first time, select the simulation indicator. For the second run, turn off the simulation indicator. 1-2-1 What version will you use to base your planning hierarchy?

    1-2-2 When you have rerun this step with the simulation indicator turned off, display your planning hierarchy, including the hierarchy graphic.

    1-2-3 What additional sold-to partner(s) were created?

    1-2-4 What materials were created for this partner?

    1-2-5 What is the difference between your manual entries and the automatically created entries?

  • SAP AG LO935 3-17

    1-3 Automatically create proportional factors for your planning hierarchy. Base this calculation on actual values of the key figure invoiced qty. Make sure that the proportions are adjusted in the planning hierarchy. Use the last six month for the calculation

    1-3-1 What version will you use to calculate your proportional factors?

    1-3-2 Display your planning hierarchy. Where do you see the proportional factors?

    1-3-3 Why is a proportional factor of sero calculated for sold-to partner 1000?

  • SAP AG LO935 3-18

    Solutions

    Unit: Master Data Topic: Planning Hierarchy

    1-1 The following is the forecast input sheet your organization has been using to load forecasts into your legacy system. It shows actual data collected for the prior year, allowing space for your sales force to enter the sales forecast in currency values. Your info structure S630 + ## already supports this format. Create a planning hierarchy for your info structure that supports the data on the following sheet:

    Sales Organization 1000 Germany Frankfurt Division 04 Lighting, Customer 1000 Becker Berlin Plant 1200

    Material L-80F 80 Watt Frosted Light bulbs Month+1 Month+2 Month+3 Month+4 Month+5 Last Year s Invoiced Sales 10000 11000 12000 13000 14000 Last Year s Invoiced Qty 1000 1100 1200 1300 1400 Sales Forecast Qty Material L-40C 40 Watt Clear Light bulbs Month+1 Month+2 Month+3 Month+4 Month+5 Last Year s Invoiced Sales 5000 6000 7000 8000 9000 Last Year s Invoiced Qty 500 600 700 800 900 Sales Forecast Qty

    Sales Organization 1000 Germany Frankfurt Division 04 Lighting, Customer 1175 Elektromarkt Bamby Plant 1200

    Material L-60C 60 Watt Clear Light bulbs Month+1 Month+2 Month+3 Month+4 Month+5 Last Year s Invoiced Sales 10000 11000 12000 13000 14000 Last Year s Invoiced Qty 1000 1100 1200 1300 1400 Sales Forecast Qty Material L-80F 80 Watt Frosted Light bulbs Month+1 Month+2 Month+3 Month+4 Month+5 Last Year s Invoiced Sales 5000 6000 7000 8000 9000 Last Year s Invoiced Qty 500 600 700 800 900 Sales Forecast Qty Material L-40C 40 Watt Clear Light bulbs Month+1 Month+2 Month+3 Month+4 Month+5 Last Year s Invoiced Sales 2500 3000 3500 4000 4500 Last Year s Invoiced Qty 250 300 350 400 450 Sales Forecast Qty

  • SAP AG LO935 3-19

    1-1-1 Based on this input sheet, what are the planning levels you will enter into your planning hierarchy?

    1-1-2

    Based on the above structure, begin entering your planning hierarchy When creating the planning hierarchy for the first time, leave the

    characteristics blank.

    A message will be displayed about the proportional factors. Because we are not entering proportional factors, press All maintnce to bypass this message.

    Don t forget to enter the data for both Sold-to Parties.

    Sales Org 1000

    Material L-80F

    Material L-40C

    Material L-80C

    Material L-40C

    Sold-to Party 1175

    Division 04

    Sold-to Party 1001

    Material L-60C

    Plant 1200

    Plant 1200

    Plant 1200

    Plant 1200

    Plant 1200

  • SAP AG LO935 3-20

    Leave all the aggregation and proportion factors blank for now, because we will let the system calculate the proportions based on actual data.

    Logistics o Logistics controlling o Flexible planning o Master data o Planning hierarchy o Create Enter your info structure S630 + ##. Press the green check button twice. On the Create Planning Hierarchy screen, enter sales organization 1000. Press [Next level]. Enter division 04. Press [Next level]. Enter Sold-to 1000 and 1175. Press [Next level]. Continue entering data using the input sheet above. When you are finished, press [Save].

    1-1-3 What is the menu path for this function?

    Logistics o Logistics controlling o Flexible planning o Master data o Planning hierarchy o Create

    1-1-4 Display the hierarchy graphic for your planning hierarchy thus far. How many boxes (nodes) does it have? Planning hierarchy o Graphics Enter Info Structure S-##, Press Enter. Leave the characteristics blank. The number of nodes is 14 + 1 for the planning hierarchy S##.

  • SAP AG LO935 3-21

    1-2 You have decided entering the planning hierarchy is a tedious task. Since you forecast based on your history of invoiced quantity, automatically build your planning hierarchy based on the last 12 month (including the actual month). When you perform this function for the first time, select the simulation indicator. For the second run, turn off the simulation indicator. From the Flexible Planning menu: Master data o Generate master data Enter your info structure S630 + ##. Enter version 000. Enter the date range specified above. Be sure the simulation indicator is selected for the first time you run this step. [Execute] Green-arrow back. Turn the simulation indicator off. [Execute] 1-2-1 What version will you use to base your planning hierarchy?

    Version 000 Actual data 1-2-2 When you have rerun this step with the simulation indicator turned off,

    display your planning hierarchy, including the hierarchy graphic. From the Flexible Planning menu: Master data o Planning hierarchy o Display Enter your info structure S630 + ##. Leave the characteristics blank. Drill down to each level in the planning hierarchy using the [Next level] button. To see the graphic, press [Hierarchy graphic].

    1-2-3 What additional sold-to partner(s) were created? 1001 and 1300

  • SAP AG LO935 3-22

    1-2-4 What materials were created for this partner? L-40F, L-40Y, L-60Y and L-80F ...

    1-2-5 What is the difference between your manual entries and the automatically created entries? Your manual entries have proportional factors of 0. The automatically created entries have factors of 100. Technically, there is no difference between these entries. The behavior of these entries will all be the same.

    1-3 Automatically create proportional factors for your planning hierarchy. Base this calculation on actual values of the key figure invoiced qty. Make sure that the proportions are adjusted in the planning hierarchy. Set the indicator Consistent planning: adjust plng hierarchy proportions. Use the last six month for the calculation

    From the Flexible Planning menu: Master data o Calculate proportns. o Using actual data Enter your info structure S630 + ##. Select Consistent planning: Adjust plng hierarchy proportions. Press [Enter]. Use version 000. Use the date range specified above. Select invoiced quantity. 1-3-1 What version will you use to calculate your proportional factors?

    Version 000 1-3-2 Display your planning hierarchy. Where do you see the proportional

    factors?

    Master data o Planning hierarchy o Display The proportional factors are displayed at each level of the planning hierarchy, relative to the level above.

    1-3-3 Why is a proportional factor of sero calculated for sold-to partner 1000? Because there are no actual data for sold-to partner 1000

  • SAP AG LO935 4-1

    SAP AG 1999

    Planning Types and Macros

    z Planning typesz Include actual dataz Performance enhancementsz Drill down functionalityz Variable time bucketsz Macros

    Contents:

  • SAP AG LO935 4-2

    SAP AG 1999

    On completing this unit, you will be able to:

    Planning Types and Macros: Objectives

    z Create your own planning typez Outline the use of planning type infoz Generate your own macrosz Explain different ways to execute macros

  • SAP AG LO935 4-3

    SAP AG 1999

    Planning Method

    Stat. Forecast

    MayMay

    Master Data

    Events

    Allocations

    InfoStructure

    Mass ProcessingJob

    Production Planning

    Planning Functions

    Planning Types

    Planning Types and Macros: Course Overview

  • SAP AG LO935 4-4

    SAP AG 1999

    z Management would like to store all planning data,both sales and production, in the same structure.

    z Different departments would like to have differentviews of their relevant data.

    z Additionaly, certain user groups should be allowedto display but not change certain key figures.

    Planning Types and Macros: Business Scenario

  • SAP AG LO935 4-5

    SAP AG 1999

    InfoStructure

    Incoming orders qty.Incoming ordersInvoiced quantityInvoiced salesProduction qty.Stock levelTarget stock levelDays supplyTarget days supply

    Incoming ord. qty.Incoming ordersInvoiced quantityInvoiced sales

    SalesProduction qty.Stock levelTarget stock level

    VersionA00

    Version001

    Planning type: SALES

    Planning type: PRODUCTION

    Planning Types

    In Flexible planning, you can create your own customized planning screens. These are called planning types.

    A planning type is a self-defined view on the planning data in an information structure. The number of planning types you can create for an information structure is not limited.

    To create a planning type, select Tools -> Planning type/macro -> Create in Flexible planning or carry out the Customizing step Maintain planning types.

    In level-by-level planning, you define each level of the planning type separately.

  • SAP AG LO935 4-6

    SAP AG 1999

    The planning type determines which key figures are displayedin the planning table

    The planning type determines which key figures are displayedin the planning table

    You can create macros in the planning typeto calculate key figures

    You can create macros in the planning typeto calculate key figures

    Include actual datafrom Version 000in the planning table

    Include actual datafrom Version 000in the planning table

    The planning typedetermines the horizonand the time grid of planning

    The planning typedetermines the horizonand the time grid of planningPlanning

    Table:

    Create a Planning Type 1

    A planning type is a customized view on the planning table; for example, you might have one view for the sales planner and another view for the production planner. A planning type defines the content and layout of the lines in the planning table as well as the mathematical operations, in the form of macros, which can be performed on these lines.

    A planning type is based on any information structure of your choice (either a standard information structure or a self-defined information structure). You therefore have almost infinite possibilities with regard to the information you can plan.

    The actions you perform to create a planning type are as follows:

    ycreating planning type info

    yassigning a key figure to a line

    ycreating lines in the planning table ydefining line attributes ydefining macros yusing special operators to define macros for stock balance, production, days supply, and historical

    totals

    ytranslating planning type, freely defined line, and macro texts

  • SAP AG LO935 4-7

    SAP AG 1999

    Insert event linesInsert event lines

    Define line type: output line planning line aggregation averaging

    Define line type: output line planning line aggregation averaging

    Define: drilling down performance extended selection

    screen

    Define: drilling down performance extended selection

    screen

    Planning typeInfo structure

    Invoiced salesActual salesProport. EventCorrect. sales

    Create a Planning Type 2

    The aggregate planning indicator in the planning type info enables: yDrill down in the planning table yVariable time buckets ySaving of fixed values yPerformance enhancements

    If you set the indicator the key figure values are aggregated by the database server and only the totals are transfered to the application server. If you do not set this indicator, the details are transferred to the application server, which aggregates them. The indicators for planning types, that you created in Release 3.0 or 3.1 are set automatically when you upgrade.

  • SAP AG LO935 4-8

    SAP AG 1999

    Planning Planning typetype

    Select key figures from info structureSelect key figures from info structure

    - Order value- Confirmed quantity- Open order quantity - Open order value- Delivery quantity- Sales

    Define additional linesDefine additional lines

    - Event- Corrected sales- Actual data from previous year

    MacroMacro Event/orig. sales * 100 = Deviation in %

    + - * / etc.

    Planning tablePlanning table

    - Consistent- Level-by-level- Delta

    Orig. salesEventCorr. salesDeviation in %

    Defining a Planning Table

    A planning type typically contains a subset of the key figures in the underlying information structure.

    You can also define further lines whose contents are obtained, for example, by the execution of macros.

    You define macros in a planning type. A macro performs a mathematical operation on an existing field or fields, and returns a new calculated value. You can set up a macro such that it is automatically executed when the planner enters or leaves the planning screen, or when he presses Enter.

    In a planning type, you can also insert lines for this years actual data, last years actual data, events, and external data.

    To define which data is read into the external data line, you must use functional enhancement MCP20001 in a Customizing project (transaction CMOD).

    You set attributes for each line in a planning type.

  • SAP AG LO935 4-9

    SAP AG 1999

    Definemacros

    Define Planning TypeDefine Planning TypeDefine Info StructureDefine Info Structure

    Planning method

    Planningunits

    Setaggregation type

    Define screen layout

    Key figureparameters

    Aggregation and Disaggregation:Determine by Aggregation Type

    The aggregation type of a key figure specifies how that key figure is aggregated and disaggregated. You set the aggregation type in Customizing (either in Set planning parameters for info structures and key figures or in Maintain planning types).

    There are three aggregation types:

    yAn average is created yA total is calculated; disaggregation is carried out on the basis of the proportional factors yNo aggregation is carried out

    The default aggregation type for planned key figures is "total calculated". The default aggregation type for a freely defined line is "no aggregation". For more information, see the IMG.

  • SAP AG LO935 4-10

    SAP AG 1999

    SOPKAPA

    SOPKAPAM

    SOPDIS

    Standard Planning Types

    Standard SOP comes with three planning types: ySOPKAPA: the system uses this for the single-level planning of a product group ySOPKAPAM: the system uses this for the planning of an individual material ySOPDIS: the system uses this for dual-level planning of a product group

    You can copy any one of these planning types and then modify it to suit your needs.

  • SAP AG LO935 4-11

    SAP AG 1999

    DatabaseDatabaseserverserver

    ApplicationApplicationserverserver

    Aggregated

    Detailed

    Aggregate Planning

    z Improved performancez Drill down functionality

    Aggregate planning indicator You set this indicator in the planning type by choosing Maintain planning types in Customizing. Key figures in this planning type are then aggregated by the database server, and only these totals are transported to the application server. If you do not set this indicator, the details are transported to the application server, which then aggregates them. The indicators for planning types that you created in Release 3.0 or 3.1 are set automatically when you upgrade.

    This indicator enables the following functionality: yImproved performance yDrill down functionality yFlexible time buckets yPermanent fixing

  • SAP AG LO935 4-12

    SAP AG 1999

    3.0 Database ... W17 W18 W19 ...Display ... W17 W18 W19 ...

    4.0 Database ... W17 W18.4 W18.5 W19 ...

    Display ... W17 W18 W19 ...

    or ... 04/97 05/97

    z Data entry in different time buckets possiblez Aggregation and disaggregation based on predefined time

    bucket grid

    Variable Time Buckets

    You can plan using more than one period indicator. For these indicators, you let the system generate a technical period that is saved in the form of a fiscal year variant. The planning method of the information structure must be consistent planning. The following example explains how to plan in weeks and months.

    Example: Set the information structure parameters for this function in Set parameters of info structures and key figures as follows: 1) Press F4 on the Planning periods field. (The Storage periodicity field is not ready for input.) 2) In the planning periods box on the next screen, enter W and M in the PI column. 3) Enter a name for your technical fiscal year variant. This name should consist of two letters. 4) Enter a generation horizon. This horizon should encompass the planning horizon - both past and

    future periods - that you wish to plan with this information structure. 5) Save these settings.

    A technical fiscal year variant is automatically generated. You return to the Information Structure Parameters screen. The name of your technical fiscal year variant (see step 3) appears as the fiscal year variant. A G appears in the Planning periods field. This G stands for generated.

    Define the sequence of the periods in the planning type info.

  • SAP AG LO935 4-13

    SAP AG 1999

    Macros

    z Record function: standard operatorsz Record function: special macros for production, stock

    balance, days supply, and historical totalsz Create functionz Functional enhancement MCP20002 (macro "User...")

    You define very simple macros with the Record function. Follow the instructions at the bottom of the screen.

    You define more complicated macros with the Create function. To calculate production, stock balance, days supply, or a historical total, you can use one of the

    special macros provided by SAP. To write your own, highly complex macro, use functional enhancement MCP20002 in a Customizing

    project (transaction CMOD). The macro name must begin with the string USER.

  • SAP AG LO935 4-14

    SAP AG 1999

    Operand 1(mandatory)

    Operator Operand 2(optional)

    Result

    Key figuremember

    Key figureowner

    Key figureowner

    DM

    AM

    Key figure = V

    Key figuremember

    Key figure

    Key figureor

    numericalvalue

    +

    *

    />

    Mass processing -> Reorgan. forecast. This function allows you to delete forecast versions in either Flexible Planning or the material forecast.

  • SAP AG LO935 6-10

    SAP AG 1999

    Qtr Qtr

    01020304050607080

    1st 2nd 3rdQtr

    4thQtr

    Corrected sales in $

    Click and Drag Forecast Results

    Interactive Business Graphic

    You can monitor and modify both the historical data and the forecast results in an interactive business graphic.

    If you correct the forecast results in the business graphic, you have the option of copying them into the planning table.

  • SAP AG LO935 6-11

    SAP AG 1999

    0

    1

    2

    3

    4

    5

    6

    7

    8

    Tolerance lane= ep V *1.25* MADep = ex-post forecast

    z Background correction

    z Manual identification and average calculation

    today

    Automatic Outlier Control

    Automatic background correction of outliers in historical data To correct outliers automatically in the historical data on which the forecast is based, select Outliers

    in the forecast profile. The system calculates a tolerance lane for the historical time series, based on the sigma factor. Historical data that lies outside the upper or lower band of this tolerance lane is corrected to the ex post forecast value.

    The width of the tolerance lane for outlier control is defined by the sigma factor. The smaller the sigma factor, the greater the control. The default sigma factor is 1; this gives a remaining probability of 10% for data correction. SAP recommends that you set a sigma factor at between 0.6 and 2.

    If you run the forecast online, historical data that has been automatically corrected by this function is indicated in column "C" of the Forecast: Historical Values dialog box.

    Automatic correction of historical data online Alternatively, you can automatically correct historical data online, without having selected Outliers

    in the forecast profile. To do this, select "C" for each historical value you want to correct and choose Correct. The system then calculates the average of all selected historical periods and displays it as the new corrected historical value.

  • SAP AG LO935 6-12

    SAP AG 1999

    Average month defined as 20 workdays(forecast profile)

    M1 M2 M3

    Original 1900 2100 2300

    Days 19 21 23

    Corr. 2000 2000 2000M4 M5 M6

    Uncorr. 2000 2000 2000

    Days 22 20 18

    Original 2200 2000 1800

    HistoryHistory

    ForecastForecast

    Workdays Correction

    Average number of days per forecast period yYou can base the forecast on an average number of days per forecast period. For example, if your

    forecast period is "month," you can run the forecast on the assumption that the number of workdays in each month is 20 by entering "20" in the No. days field of the forecast profile (see above). The system then corrects the forecast data based on the actual number of workdays in the period. The actual number of workdays in the period is defined in the factory calendar.

    Forecast periods yThe period indicator on which you base the forecast can be different than the storage periodicity.

    You set the storage periodicity in Customizing by choosing Set parameters of info structures and key figures. You enter the forecast period in the Period ind. field of the forecast profile

  • SAP AG LO935 6-13

    SAP AG 1999

    Statistical Forecast: Unit Summary

    z Carry out a forecastz Outline the use of forecast profilesz Store and load forecast versionsz Base the forecast on the number of workdays in

    a period

    You are now able to:

  • SAP AG LO935 6-14

    Exercises

    Unit: Statistical Forecast

    Carry out the forecast Outline the use of forecast profiles Store and load forecast versions

    Management wants to create a sales plan based on the historical data for the invoiced quantity. They also want to see the difference between calculating the forecast at the aggregate and disaggregate levels.

    1-1 Create a sales plan in the active version A00 for division 04 for the next 12 months using the forecast tool. Base this plan on historical values, specifically, sales forecast qty. for the past 12 months. Let the system automatically determine the model selection. As you perform this task, answer the following questions. 1-1-1 What are the two options for specifying the forecast and historical date

    ranges?

    1-1-2 List three of the seven options for model selection when running your forecast.

    1-1-3 Change at least one of the historical values before executing the forecast.

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    1-1-4 What are the three methods for correcting historical outlier values? Two of these methods are explained in the on-line help for the Correct Outlier Indicator on the Forecast: Historical Values screen.

    1-1-5 Run different forecast models and write down the results like basic value, trend value, MAD and error total for the different models.

    1-1-6 Save your plan. Enter again and evalute your forecast version. The forecast version contains all historical date, all parameters you have

    used for the last forecast and the last result.

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    Solutions

    Unit: Statistical Forecast

    1-1 Create a sales plan in the active version A00 for division 04 for the next 12 months using the forecast tool. Base this plan on historical values, specifically, sales forecast qty. for the past 12 months. Let the system automatically determine the model selection. As you perform this task, answer the following questions. Note: If you are following the solutions, you can complete the steps and then return to step 6 to answer the questions. From the Flexible Planning menu: 1. Planning o Change 2. Enter your groups planning type ZS6##-Sales. 3. Enter sales organization 1000, division 04. 4. Select the active version. 5. Place your cursor on the Sales Forecast Qty field in the planning table. 6. Edit o Forecast 7. Confirm the period intervals for the forecast and the historical data (you may

    have to change the interval for the historical data). Also confirm you are using automatic model selection.

    8. To manipulate historical data, select [Historical]. 9. To perform the forecast, select [Forecasting]. 10. Accept the parameters that are displayed on the Parameters for Automatic

    Selection window, select [Forecasting]. 11. Scroll through the Results window. Feel free to manually change any forecast

    values. 12. Press enter to copy the results into the planning table.

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    1-1-1 What are the two options for specifying the forecast and historical date ranges? 1. Use period intervals. Enter the exact periods for the forecast and the

    historical data. For example, the forecast period range can be entered as 04.98 to 04.99. The historical period range can be entered as 03.97 to03.98.

    2. Use number of periods. Enter the number of forecast periods and historical periods. For example, enter 12 for the number of forecast periods and 12 for the number of historical periods.

    1-1-2 List three of the seven options for model selection when running your forecast. The seven models are: Constant Seasonal Trend Seasonal Trend Automatic Selection (the system determines the appropriate model) Historical Weighting

    1-1-3 Change at least one of the historical values before executing the forecast. There are three options for changing the historical values, all from within the Forecast: Model Selection window, all of which are accessed by pressing the [Historical] button from the Forecast: Model Selection window: 1. Manually type over the existing values. 2. Use the interactive graphics to click and drag each bar to its correct

    value. Copy these results back to the table. 3. Select the periods to correct by checking the C column. Then press

    the [Correct] button. This will replace the selected periods with the average value.

    1-1-4 What are the three methods for correcting historical outlier values? Two of these methods are explained in the on-line help for the Correct Outlier Indicator on the Forecast: Historical Values screen. 1. Manually correct the values either by changing them in the Corr.

    Value column of the Forecast: Historical Values screen or using the interactive graphics.

    2. Select the values to correct by placing a check in the C column and pressing the [Correct] button. This will calculate the average of the corrected historical values and will replace selected values with this value.

    3. Select Outliers in the forecast profile and enter the Sigma factor for outlier control. Run your forecast using this forecast profile.

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    1-1-5 Run different forecast models and write down the results like basic value, trend value, MAD and error total for the different models.

    1-1-6 Save your plan. Enter again and evalute your forecast version. The forecast version contains all historical date, all parameters you have

    used for the last forecast and the last result.

    1. Planning o Change 2. Enter your groups planning type ZS6##-Sales. 3. Enter sales organization 1000, division 04. 4. Select the active version. 5. Place your cursor on the Sales Forecast Qty field in the planning

    table. 6. Edit o Forecast o Version

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    Events

    z Defining an eventz Assigning an eventz Displaying an event

    Contents:

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    On completing this unit, you will be able to:

    Events: Unit Objectives

    z Outline the role of events in SOPz Create and use eventsz Analyze the result in the planning table

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    Planning Method

    Stat. Forecast

    MayMay

    Master Data

    Events

    Allocations

    InfoStructure

    Mass ProcessingJob

    Production Planning

    Planning Functions

    Planning Types

    Events: Course Overview

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    Events: Business Scenario

    z Your marketing department has decided to run anpromotion on your light bulbs. They estimate thatsales quantity (invoiced quantity) will increase by25% for the first month and 40% for the secondmonth the promotion will run. The promotion willstart on the first of the month after next (yoursecond planned month).

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    W07/97

    W08/97

    W09/97

    W10/97

    W11/97

    Time

    Corrected Planned Sales

    Original Planned Sales

    Period W 1 W 2 W 3 W 5

    +10%

    Corrected planned sales 110 120 110 95 100

    +20% +10% -5%

    W 4

    Proportional event

    Normal planned sales 100 100 100 100 100

    100 %

    %Start of event

    Events

    Events allow you to predict the impact of one-time events that cannot be deduced from historical data. Examples of events include: yPrice changes such as promotions

    ySpecial deals with major customers and vendors yCompetitor sales activities yManagement overrides yFacts based on market intelligence

    You define an event either as a series of percentage changes ("proportional" events) or as one or more whole numbers ("cumulative" events). In the above example, the event has been defined as a percentage.

    The impact of the event is shown in the corrected key figure values of the planning table.

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    AssignmentEvent list

    Material 1 .

    .

    Material 5Easter promotionMid-season sales .

    .

    Special contractsMaterial 5 .

    .

    Material 20

    Characteristics

    Key figure

    Info structure

    Planning versions

    Start date1999

    Events: Assignment to Information Objects

    In addition to the amount of the change, an event contains the following information objects: yPeriod unit (day, week, month, or other period) yDate on which the event is to start

    yCharacteristic values combination (e.g. sales organization and sales district) yKey figure (e.g. invoiced sales value) yPlanning version

    This information determines how the event is displayed in the planning table. The period unit of the event does not have to be the same as the period unit of the information

    structure. The system assigns the event values to the correct periods in the planning table automatically

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    Insert eventlines

    Planning typeInfo structure

    Invoiced salesActual sales

    Proport. EventCorrect. sales

    Cumulative Event

    Planning type

    Events: Display in the Planning Table

    In order to view an event in the planning table, you must first assign it to a planning type and then plan that planning type.

    Cumulative event data is disaggregated to the detailed level using the constant proportional factors, not on the basis of current planning data.

    Proportional events are displayed at the detailed level only. The data on event lines is calculated and displayed automatically in the planning table at runtime. It

    is not saved on the database when you save the planning version.

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    Events: Unit Summary

    z Outline the role of events in SOPz Create and use eventsz Analyze the result in the planning table

    You are now able to:

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    Exercises

    Unit: Events Topic: Defining, Assigning, and Displaying Events

    Outline the role of events in SOP Create and use events in a planning type

    Your marketing department has decided to run a promotion on your light bulbs. They estimate that sales quantity (invoiced quantity) will increase by 25% for the first month and 40% for the second month the promotion will run. The promotion will start on the first of the month after next (your second planned month).

    1-1 Create an event PROMOTION## based on the above business scenario. You will use the following parameters:

    Create a monthly, proportional event. It will effect the key figure invoiced quantity. It will effect the active version.

    The promotion will start on the first day of your second planning month. Your event will be assigned to sales organization 1000 and division 04.

    1-2 Add the event key figures to your planning type ZSALES-##. Store the corrected forecast in key figure sales.

    1-3 Review your plan using your planning type ZSALES-## and the active version. Look specifically for sales organization 1000 and division 04. Change the key figure sales forecast qty in all periods by adding for example a very small number. Save your plan and enter it again to see the correction due to your event.

    Using aggregate planning the corrected invoiced quantity is only calculated when you save your plan. Only changed quantities are calculated.

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    Solutions

    Unit: Events Topic: Defining, Assigning, and Displaying Events

    1-1 Create an event PROMOTION## based on the above business scenario. You will use the following parameters:

    Create a monthly, proportional event.

    It will effect the key figure invoiced quantity. It will effect the active version.

    The promotion will start on the first day of your second planning month. Your event will be assigned to sales organization 1000 and division 04. From the Flexible Planning menu Tools o Event o Create Enter your new event PROMOTION##. Press the green check. Enter a description and select proportional and event length month. Press Enter. Change the 100% to 125% in the first month and 140% in the second month. Goto o Create Assignment, or select [Assignment] Enter your info structure S6##. Press Select sales organization 1000, division 04, key figure invoiced quantity, your active version and for the assignment date the first day of your second planning month. Press Flag assignment. Select list of assignments to check which characteristics combinations were assigned. Save the event.

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    1-2 Add the event key figures to your planning type ZSALES-##. Store the corrected forecast in key figure sales. From the Flexible Planning menu Tools o Planning type/macro o Change Enter your planning type ZS6##-Sales Place the cursor on sales forecast qty and select [event remark]. Select key figure sales and press Enter. Save your planning type.

    1-3 Review your plan using your planning type ZSALES-## and the active version. Look specifically for sales organization 1000 and division 04. Change the key figure sales forecast qty in all periods by adding for example a very small number. Save your plan and enter it again to see the correction due to your event. From the Flexible Planning menu Planning o Change Enter your planning type ZS6##-Sales Enter sales organization 1000, division 04 and select the forecast version you assigned in the event. Change Sales Forecast Qty using the distribution function and add 0.000001 to each column. Save your plan. Enter the plan again and check the result.

    Using aggregate planning the corrected invoiced quantity is only calculated when you save your plan. Only changed quantities are calculated.

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    Production Planning

    z Production macrosz Rough-Cut planning profilesz Work center hierarchiesz Resource leveling for capacity, cost and materials in

    the planning tablez Customizing settings

    Contents:

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    On completing this unit, you will be able to:

    Production Planning: Unit Objectives

    z Create a production planz Explain the use of rough-cut profilesz Outline the use of work center hierarchies for

    different planning levelsz Explain the Customizing settings for rough-cut

    planning

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    Planning Method

    Stat. Forecast

    MayMay

    Master Data

    Events

    Allocations

    InfoStructure

    Mass ProcessingJob

    Production Planning

    Planning Functions

    Planning Types

    Production Planning: Course Overview

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    Production Planning: Business Scenario

    z Once the sales reps are comfortable with theirsales forecast, your planners must create aproduction plan, based on the sales forecast.Management would like a PRODUCTION view ofthis data that your planners can work with. Thisproduction plan will be adjusted according to thecapacity of a bottleneck work center and will bepassed to demand management.

    z Before you can create a production plan, you needto create a planning type that includes macrossuch as stock balance and target days supply.

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    W29/99 W30/99 M08/99 M09/99Sales 50 70 220 250Production 50 70 220 250

    W29/99 W30/99 M08/99 M09/99Sales 50 70 220 250Production 60 70 250 250Target stock level 10 10 40 40

    W29/99 W30/99 M08/99 M09/99Sales 50 70 220 250Production 80 40 330 265Target days supply 3 0 11 11

    Synchronous to salesSynchronous to sales

    Target stock levelTarget stock level

    Target days supplyTarget days supply

    Production Macros in Standard SOP

    There are four strategies in Standard SOP for automatically generating a production plan: yProduction quantities are the same as sales quantities in each period ("synchronous to sales") yProduction quantities are such that target stock levels are reached yProduction quantities are such that target days supplies are reached yProduction quantities are such that the stock level at the end of each period is zero.

    You can also enter production quantities manually. Stock levels and days supplies are calculated and displayed automatically whenever you regenerate

    the planning screen.

    Opening stock levels are taken into account.

    To set opening stock levels manually in Standard SOP, choose Goto -> Opening stock level.

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    Operator

    LOL1L2L3L4PRRWZS

    Description

    Stock balanceTarget stock receiptsReceiptsIssuesTarget stock / issuesTarget supply / productionDays supplyHistorical total

    Special Macro Operations

    The R/3 System comes with eight special operators with which you can calculate production, stock balance, days supply, or a historical total.

    Each of these operators is based on an internally defined formula. For detailed information on these formulas, see the Extended Help.

    To define a macro with one of these operators, select Macro -> Record and then the pushbutton Special operation. All you need to do is specify which lines in the planning type are to represent which operands in the macro. For example, you might define the sales line as goods issues and the production line as good receipts.

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    Raw material 13

    Work center group WCG 12

    Work center group WCG 19

    Costs

    Week 1

    Duration

    Week 2 Week 3

    2

    10

    2

    4

    20

    3

    4

    20

    Pallet

    Day

    Day

    USD

    2

    ResourceUnit

    Rough-Cut Planning Profiles

    You use rough-cut planning profiles to plan critical resources. These might be: yBottleneck work center

    yMaterial capacities

    yCosts of goods transportation or a marketing campaign The following resource types are supported: yWork center capacities

    yMaterials

    yProduction resources/tools yCosts

    Rough-cut planning profiles can also give you an aggregate (summarized) picture of resources: i.e. yWorkdays (rather than hours or minutes) yWork center groups and product groups (rather than individual work centers or products)

    An aggregate view of resource loads is particularly desirable for medium- and long-term planning. The base quantity is the number of units for which the resource is required. You cannot change the

    base quantity once you have saved the rough-cut planning profile. Different lot size ranges may have different base quantities.

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    A

    A BCD

    Planned quantity

    xTime per piece

    =Capacityrequirements

    Work center Labor

    =Availablecapacity

    Determination of Capacity Load

    Resource leveling is carried out with reference to a plant. If your information structure does not contain the characteristic "plant" or if no plant is uniquely identifiable from the characteristic values defined in your rough-cut planning profile, you need to set a planning plant in Customizing for Sales & Operations Planning (in Set parameters for info structures and key figures and Set planning plant for SOP).

    What to maintain in the rough-cut profile:

    ythe time span of one planning period in the resources table, expressed in days ythe status of the rough-cut planning profile (as in a routing) ythe usage of the rough-cut planning profile (as in a routing) ythe lot size range for which the profile is valid ythe key figure causing the resource load (if the rough-cut planning profile is defined for an

    information structure) You define the determination of capacity load in the rough-cut planning profile. The available

    capacity is read from the bottleneck work center defined in the recource table of the rough-cut profile. The ca