unit4-5 om
TRANSCRIPT
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Operations Management (ME-601)
UNIT 4,5
Prof. S. N. Varma
Ref.
Stevenson WJ; Operations Management; TMH
Hopp WJ and Spearman ML; Factory Physics; McGraw-Hill
Chary SN; Production and OM; TMH
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Location Planningand Analysis
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8-3
Learning Objectives
List some of the main reasons organizations
need to make location decisions.
Explain why location decisions are important.
Discuss the options that are available for
location decisions.
Describe some of the major factors that affect
location decisions.
Outline the decision process for making these
kinds of decisions.
Use the techniques presented to solve typical
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Need for Location Decisions
Marketing Strategy
Cost of Doing Business
Growth
Depletion of Resources
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8-5
Nature of Location Decisions
Strategic Importance of location decisions Long term commitment/costs
Impact on investments, revenues, and operations
Supply chains
Objectives of location decisions Profit potential
No single location may be better than others
Identify several locations from which to choose
Location Options Expand existing facilities
Add new facilities
Move
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Making Location Decisions
Decide on the criteria Identify the important factors
Develop location alternatives
Evaluate the alternatives
Identify general region
Identify a small number of community alternatives
Identify site alternatives
Evaluate and make selection
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Location Decision Factors
Regional Factors
Site-relatedFactors
Multiple PlantStrategies
CommunityConsiderations
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Location of raw materials
Location of markets
Labor factors
Climate and taxes
Regional Factors
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Quality of life
Services
Attitudes
Taxes
Environmental regulations
Utilities
Developer support
Community Considerations
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Land
Transportation
Environmental
Legal
Site Related Factors
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Product plant strategy Market area plant strategy
Process plant strategy
Multiple Plant Strategies
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Service and Retail Locations
Manufacturers – cost focused
Service and retail – revenue focused
Traffic volume and convenience most important Demographics
Age
Income
Education Location, location, location
Good transportation
Customer safety
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8-13
Comparison of Service andManufacturing Considerations
Manufacturing/Distribution Service/Retail
Cost Focus Revenue focus
Transportation modes/costs Demographics: age,income,etc
Energy availability, costs Population/drawing area
Labor cost/availability/skills Competition
Building/leasing costs Traffic volume/patterns
Customer access/parking
Table 8.2
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Trends in Locations
Foreign producers locating in U.S.
“Made in USA”
Currency fluctuations
Just-in-time manufacturing techniques
Microfactories
Information Technology
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Global Locations
Reasons for globalization
Benefits
Disadvantages Risks
Global operations issues
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Globalization
Facilitating Factors
Trade agreements
Technology Benefits
Markets
Cost savings
Legal and regulatory Financial
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Globalization
Disadvantages
Transportation costs
Security
Unskilled labor
Import restrictions
Criticisms
Risks
Political
Terrorism
Legal
Cultural
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ForeignGovernment
a. Policies on foreign ownership of production facilitiesLocal Content
Import restrictionsCurrency restrictionsEnvironmental regulationsLocal product standardsLiability laws
b. Stability issues
CulturalDifferences
Living circumstances for foreign workers / dependentsReligious holidays/traditions
CustomerPreferences
Possible buy locally sentiment
Labor Level of training and education of workersWork ethicPossible regulations limiting number of foreign employeesLanguage differences
Resources Availability and quality of raw materials, energy,transportation infrastructure
Table 8.3
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8-19
Evaluating Locations
Cost-Profit-Volume Analysis
Determine fixed and variable costs
Plot total costs
Determine lowest total costs
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Location Cost-Volume Analysis
Assumptions Fixed costs are constant
Variable costs are linear
Output can be closely estimated
Only one product involved
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8-21
Example 1: Cost-Volume Analysis
Fixed and variable costs for four potential locations
L o c a t i o n F i x e d
C o s t
V a r i a b l e
C o s t ABCD
$ 2 5 0 , 0 0 01 0 0 , 0 0 01 5 0 , 0 0 02 0 0 , 0 0 0
$ 1 13 02 03 5
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8-22
Example 1: Solution
FixedCosts
VariableCosts
TotalCosts
ABCD
$250,000100,000150,000200,000
$11(10,000)30(10,000)20(10,000)35(10,000)
$360,000400,000350,000550,000
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Example 1: Solution 800700600
500400300200100
0
Annual Output (000)
$(000)
8 10 12 14 166420
A
B
C
B SuperiorC Superior
A Superior
D
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Evaluating Locations
Transportation Model Decision based on movement costs of raw materials
or finished goods
Factor Rating
Decision based on quantitative and qualitative inputs Center of Gravity Method
Decision based on minimum distribution costs
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TheTransportation Model
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8s-26
Learning Objective
Describe the nature of a transportation problem
Set up transportation problems in the general linear
programming format
Interpret computer solutions
R i t f T t ti
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8s-27
Requirements for Transportation
Model
List of origins and each one’s capacity
List of destinations and each one’s demand
Unit cost of shipping
Note: The DVD that accompanies this book
contains a module that provides detailed
instruction on the transportation model
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8s-28
Transportation Model Assumptions
1. Items to be shipped are homogeneous
2. Shipping cost per unit is the same
3. Only one route between origin and destination
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8s-29
The Transportation Problem
D(demand)
D
(demand)
D(demand)
D(demand)
S(supply)
S
(supply)
S(supply)
Figure 8S.1
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8s-30
A Transportation Table Warehouse
4 7 7 1
100
12 3 8 8
200
8 10 16 5150
450
45080 90 120 160
A B C D
1
2
3
Factory Factory 1cansupply100
units perperiod
Totalsupply
capacityperperiod
Total demandper period
Demand
Warehouse B can use 90units per period
Table 8S.1
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8s-31
Special Problems
Unequal supply and demand
Dummy: Imaginary number added equal to the
difference between supply and demand when
these are unequal
Degeneracy: The condition of too few completed
cells to allow all necessary paths to be
constructed
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Summary of Procedure
Make certain that supply and demand are equal Develop an initial solution using intuitive, low-
cost approach
Check that completed cells = R+C-1
Evaluate each empty cell
Repeat until all cells are zero or positive
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Facilities layout
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Layout : the configuration of departments, workcenters, and equipment, with particular emphasis
on movement of work (customers or materials)
through the system
Product layouts Process layouts
Fixed-Position layout
Combination layouts
Facilities Layout
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Objective of Layout Design1. Facilitate attainment of product or service quality2. Use workers and space efficiently
3. Avoid bottlenecks
4. Minimize unnecessary material handling costs
5. Eliminate unnecessary movement of workers or materials
6. Minimize production time or customer service time
7. Design for safety
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Requires substantial investments of money andeffort
Involves long-term commitments
Has significant impact on cost and efficiency of
short-term operations
Importance of Layout Decisions
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Inefficient operations
For Example:
High Cost
Bottlenecks
Changes in the design
of products or services
The introduction of new
products or services
Accidents
Safety hazards
The Need for Layout Decisions
e ee or ayou es gn
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Changes inenvironmental
or other legal
requirements
Changes in volume of
output or mix of
products
Changes in methods
and equipment
Morale problems
e ee or ayou es gn(Cont’d)
B i L t T
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Product layouts
Process layouts
Fixed-Position layout
Combination layouts
Basic Layout Types
B i L t T
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Product layout Layout that uses standardized processing operations
to achieve smooth, rapid, high-volume flow
Process layout Layout that can handle varied processing
requirements Fixed Position layout
Layout in which the product or project remainsstationary, and workers, materials, and equipment aremoved as needed
Basic Layout Types
P d t L t
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Raw
materials
or customer
Finished
itemStation
2
Station
3
Station
4
Material
and/or
labor
Station
1
Material
and/or
labor
Material
and/or
labor
Material
and/or
labor
Used for Repetitive or Continuous Processing
Figure 6.4
Product Layout
Ad t f P d t L t
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High rate of output
Low unit cost
Labor specialization
Low material handling cost
High utilization of labor and equipment
Established routing and scheduling
Routing accounting and purchasing
Advantages of Product Layout
Di d t f P d t L t
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Creates dull, repetitive jobs
Poorly skilled workers may not maintain
equipment or quality of output
Fairly inflexible to changes in volume
Highly susceptible to shutdowns
Needs preventive maintenance
Individual incentive plans are impractical
Disadvantages of Product Layout
A U Shaped Production Line
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1 2 3 4
5
6
78910
In
Out
Workers
Figure 6.6
A U-Shaped Production Line
Process Layout
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Dept. A
Dept. B Dept. D
Dept. C
Dept. F
Dept. E
Used for Intermittent processing
Job Shop or Batch Processes
Process Layout(functional)
Figure 6.7
Process Layout
Product Layout
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Work
Station 1
Work
Station 2
Work
Station 3
Figure 6.7 (cont’d)
Product Layout(sequential)
Used for Repetitive Processing
Repetitive or Continuous Processes
Product Layout
Ad t f P L t
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Can handle a variety of processing requirements
Not particularly vulnerable to equipment failures
Equipment used is less costly
Possible to use individual incentive plans
Advantages of Process Layouts
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In-process inventory costs can be high
Challenging routing and scheduling
Equipment utilization rates are low
Material handling slow and inefficient Complexities often reduce span of supervision
Special attention for each product or customer
Accounting and purchasing are more involved
Disadvantages of Process Layouts
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Fixed Position Layouts
Fixed Position Layout: Layout in which the product or
project remains stationary, and workers, materials,
and equipment are moved as needed.
Nature of the product dictates this type of layout
Weight
Size
Bulk Large construction projects
Cellular Layouts
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Cellular Production Layout in which machines are grouped into a cell
that can process items that have similar processing
requirements
Group Technology
The grouping into part families of items with similar
design or manufacturing characteristics
Cellular Layouts
Functional vs Cellular Layouts
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Dimension Functional CellularNumber of moves
between departments
many few
Travel distances longer shorter
Travel paths variable fixed
Job waiting times greater shorter
Throughput time higher lower
Amount of work in
process
higher lower
Supervision difficulty higher lower
Scheduling complexity higher lower
Equipment utilization lower higher
Table 6.3
Functional vs. Cellular Layouts
Service Layouts
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Warehouse and storage layouts
Retail layouts
Office layouts
Service layouts must be aesthetically pleasing as
well as functional
Service Layouts
es gn ro uc ayou s: ne
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Line Balancing is the process of assigning
tasks to workstations in such a way that
the workstations have approximately
equal time requirements.
es gn ro uc ayou s: neBalancing
Cycle Time
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Cycle time is the maximum time
allowed at each workstation to
complete its set of tasks on a unit.
Cycle Time
Determine Maximum Output
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D
OT =timecycle=CT
rateoutputDesired=D
daypertimeoperatingOT
CT
OT =rateOutput
Determine Maximum Output
Determine the Minimum Number
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task timeof sum=t
CT
t)( =N
of Workstations Required
Precedence Diagram
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Precedence diagram : Tool used in line balancing todisplay elemental tasks and sequence requirements
A Simple Precedence
Diagrama b
c d e
0.1 min.
0.7 min.
1.0 min.
0.5 min. 0.2 min.
Figure 6.11
Precedence Diagram
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Arrange tasks shown in Figure 6.10 into threeworkstations.
Use a cycle time of 1.0 minute
Assign tasks in order of the most number of
followers
Example 1: Assembly Line Balancing
Example 1 Solution
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WorkstationTimeRemaining Eligible
AssignTask
RevisedTimeRemaining
StationIdle Time
1 1.0
0.9
0.2
a, c
c
none
a
c
-
0.9
0.2
0.2
2 1.0 b b 0.0 0.0
3 1.0
0.5
0.3
d
e
-
d
e
-
0.5
0.3 0.3
0.5
Example 1 Solution
Calculate Percent Idle Time
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Percent idle time =Idle time per cycle
(N)(CT)
Efficiency = 1 – Percent idle time
Calculate Percent Idle Time
Line Balancing Rules
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Assign tasks in order of most following tasks.
Count the number of tasks that follow
Assign tasks in order of greatest positional
weight.
Positional weight is the sum of each task’s time
and the times of all following tasks.
Some Heuristic (intuitive) Rules:
Line Balancing Rules
Example 2
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c d
a b e
f g h
0.2 0.2 0.3
0.8 0.6
1.0 0.4 0.3
Example 2
Solution to Example 2
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Station 1 Station 2 Station 3 Station 4
a b e
f
d
g hc
Solution to Example 2
Bottleneck Workstation
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1 min.2 min.1 min.1 min.30/hr. 30/hr. 30/hr. 30/hr.
Bottleneck
Bottleneck Workstation
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Parallel Workstations
1 min.
2 min.
1 min.1 min.60/hr.
30/hr. 30/hr.
60/hr.
2 min.
30/hr.
30/hr.
Parallel Workstations
Designing Process Layouts
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Information Requirements:
1. List of departments
2. Projection of work flows
3. Distance between locations
4. Amount of money to be invested
5. List of special considerations
6. Location of key utilities
Designing Process Layouts
Example 3: Interdepartmental Work Flows
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1 3 2
30
170 100
A B C
Figure 6.13
p pfor Assigned Departments
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PowerPoint Author’s note:
The following three slides are not in the 9e text,
but I like to use them for alternate examples.
Process Layout
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Process Layout - work travelsto dedicated process centers
Milling
Assembly& Test
Grinding
Drilling Plating
Process Layout
Functional Layout
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Gear
cutting
Mill Drill
Lathes
Grind
Heat
treat
Assembly
111
333
222
444
222
111
444
111 3331111 2222
222
3333
111
444
111
Functional Layout
Cellular Manufacturing Layout
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-1111 -1111
222222222 - 2222
A s s e m
b l y
3333333333 - 3333
44444444444444 - 4444
Lathe
Lathe
Mill
Mill
Mill
Mill
Drill
Drill
Drill
Heattreat
Heattreat
Heattreat
Gearcut
Gearcut
Grind
Grind
Cellular Manufacturing Layout
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Capacity Planning
For Products and Services
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Learning Objectives
Explain the importance of capacity planning.
Discuss ways of defining and measuring capacity.
Describe the determinants of effective capacity.
Discuss the major considerations related to
developing capacity alternatives.
Briefly describe approaches that are useful for
evaluating capacity alternatives
Capacity Planning
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Capacity Planning
Capacity is the upper limit or ceiling on the load that
an operating unit can handle. Capacity also includes
Equipment
Space
Employee skills
The basic questions in capacity handling are:
What kind of capacity is needed?
How much is needed?
When is it needed?
Importance of Capacity Decisions
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1. Impacts ability to meet future demands2. Affects operating costs
3. Major determinant of initial costs
4. Involves long-term commitment
5. Affects competitiveness
6. Affects ease of management
7. Globalization adds complexity
8.Impacts long range planning
Importance of Capacity Decisions
Capacity
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Capacity
Design capacity
maximum output rate or service capacity an operation,
process, or facility is designed for
Effective capacity
Design capacity minus allowances such as personaltime, maintenance, and scrap
Actual output
rate of output actually achieved--cannot
exceed effective capacity.
Efficiency and Utilization
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Efficiency and Utilization
Actual outputEfficiency =Effective capacity
Actual outputUtilization =
Design capacity
Both measures expressed as percentages
Efficiency/Utilization Example
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Actual output = 36 units/dayEfficiency = =
90%
Effective capacity 40 units/ day
Utilization = Actual output = 36 units/day=
72% Design capacity 50 units/day
Efficiency/Utilization Example
Design capacity = 50 trucks/dayEffective capacity = 40 trucks/day
Actual output = 36 units/day
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Determinants of Effective Capacity
Facilities
Product and service factors
Process factors
Human factors
Policy factors
Operational factors
Supply chain factors
External factors
Strategy Formulation
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Strategy Formulation
Capacity strategy for long-term demand
Demand patterns
Growth rate and variability
Facilities
Cost of building and operating Technological changes
Rate and direction of technology changes
Behavior of competitors
Availability of capital and other inputs
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Key Decisions of Capacity Planning1. Amount of capacity needed
• Capacity cushion (100% - Utilization)
2. Timing of changes
3. Need to maintain balance
4. Extent of flexibility of facilities
Capacity cushion – extra demand intended to offset uncertainty
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Steps for Capacity Planning
1. Estimate future capacity requirements2. Evaluate existing capacity
3. Identify alternatives
4. Conduct financial analysis5. Assess key qualitative issues
6. Select one alternative
7. Implement alternative chosen
8. Monitor results
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Forecasting Capacity Requirements
Long-term vs. short-term capacity needs
Long-term relates to overall level of capacity such as
facility size, trends, and cycles
Short-term relates to variations from seasonal,
random, and irregular fluctuations in demand
C l l ti P i R i t
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Calculating Processing Requirements
Product AnnualDemand
Standard
processing timeper unit (hr.)
Processing timeneeded (hr.)
#1
#2
#3
400
300
700
5.0
8.0
2.0
2,000
2,400
1,400
5,800
If annual capacity is 2000 hours, then we need three machines to handle the
required volume: 5,800 hours/2,000 hours = 2.90 machines
Planning Service Capacity
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Need to be near customers
Capacity and location are closely tied
Inability to store services
Capacity must be matched with timing of demand
Degree of volatility of demand Peak demand periods
Planning Service Capacity
In-House or Outsourcing
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In House or Outsourcing
1. Available capacity
2. Expertise
3. Quality considerations4. Nature of demand
5. Cost
6. Risk
Outsource: obtain a good or service
from an external provider
Developing Capacity Alternatives
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Developing Capacity Alternatives
1.Design flexibility into systems
2.Take stage of life cycle into account
3.Take a “big picture” approach to capacity changes
4.Prepare to deal with capacity “chunks”
5. Attempt to smooth out capacity requirements
6.Identify the optimal operating level
Bottleneck Operation
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p Figure 5.2
Machine #2Bottleneck Operation
Machine #1
Machine #3
Machine #4
10/hr
10/hr
10/hr
10/hr
30/hr
Bottleneck operation: An operation
in a sequence of operations whose
capacity is lower than that of theother operations
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Bottleneck Operation
Operation 1
20/hr.
Operation 2
10/hr.
Operation 3
15/hr.10/hr.
Bottleneck
Maximum output rate
limited by bottleneck
Economies of Scale
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Economies of Scale
Economies of scale
If the output rate is less than the optimal level,
increasing output rate results in decreasing average
unit costs
Diseconomies of scale
If the output rate is more than the optimal level,
increasing the output rate results in increasing average
unit costs
Optimal Rate of Output
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p p
Minimumcost
A v e r a g e c o s t p e r u n i t
0 Rate of output
Production units have an optimal rate of output for minimal cost.
Minimum average cost per unit
Economies of Scale
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Minimum cost & optimal operating rate arefunctions of size of production unit.
A v e r a g e c o s t
p e r u n i t
0
Smallplant Medium
plant Largeplant
Output rate
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Evaluating Alternatives
Cost-volume analysis
Break-even point
Financial analysis
Cash flow
Present value
Decision theory
Waiting-line analysis
Cost-Volume Relationships
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p
A m o u
n t ( $ )
0Q (volume in units)
Fixed cost (FC)
Figure 5.6a
Cost-Volume Relationships
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p
A m o u n t ( $ )
Q (volume in units)0
Figure 5.6b
Cost-Volume Relationships
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p
A m o u
n t ( $ )
Q (volume in units)0 BEP units
Figure 5.6c
Break-Even Problem with Step FixedC t
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Costs
Quantity
Step fixed costs and variable costs.
1 machine
2 machines
3 machines
Figure 5.7a
Break-Even Problem with Step FixedCosts
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Costs $
TC
TC
TCBEP
2
BEP3
Quantity1
2
3
Multiple break-even points
Figure 5.7b
Assumptions of Cost-VolumeAnalysis
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1.One product is involved2.Everything produced can be sold
3.Variable cost per unit is the same regardless of volume
4.Fixed costs do not change with volume5.Revenue per unit constant with volume
6.Revenue per unit exceeds variable cost per unit
Analysis
Financial Analysis
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y
Cash Flow - the difference between cash received
from sales and other sources, and cash outflowfor labor, material, overhead, and taxes.
Present Value - the sum, in current value, of all
future cash flows of an investment proposal.
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Decision Theory
Helpful tool for financial comparison of alternatives
under conditions of risk or uncertainty
Suited to capacity decisions
See Chapter 5 Supplement
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Waiting-Line Analysis
Useful for designing or modifying service systems
Waiting-lines occur across a wide variety of service
systems
Waiting-lines are caused by bottlenecks in the
process
Helps managers plan capacity level that will be cost-
effective by balancing the cost of having customers
wait in line with the cost of additional capacity
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Aggregate Planning
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Learning Objectives
Explain what aggregate planning is and how it is
useful.
Identify the variables decision makers have to
work with in aggregate planning and some of thepossible strategies they can use.
Describe some of the graphical and quantitative
techniques planners use.
Prepare aggregate plans and compute their costs.
Planning Horizon
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Aggregate planning : Intermediate-rangecapacity planning, usually covering 2 to 12
months.
Shortrange
Intermediaterange
Long range
Now 2 months 1 Year
Overview of Planning Levels
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Short-range plans (Detailed plans)
Machine loading
Job assignments
Intermediate plans (General levels)
Employment Output
Long-range plans
Long term capacity
Location / layout
Planning Sequence
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Business PlanEstablishes operationsand capacity strategies
Aggregate planEstablishes
operations capacity
Master schedule Establishes schedulesfor specific products
Corporatestrategies
and policies
Economic,competitive,and politicalconditions
Aggregatedemand
forecasts
Figure 13.1
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Aggregate Planning Begin with forecast of aggregate demand
Forecast intermediate range
General plan to meet demand by setting
Output levels
Employment
Finished goods inventory level
Production plan is the output of aggregate planning
Update plan periodically – rolling planning horizon always covers the next 12 – 18 months
Aggregate Planning Inputs
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Resources
Workforce
Facilities
Demand forecast
Policies
Subcontracting
Overtime
Inventory levels
Back orders
Costs
Inventory carrying
Back orders
Hiring/firing
Overtime
Inventory changes
Subcontracting
Aggregate Planning Outputs
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Total cost of a plan
Projected levels of inventory
Inventory
Output
Employment
Subcontracting
Backordering
A t Pl i St t i
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Aggregate Planning Strategies Proactive
Alter demand to match capacity
Reactive
Alter capacity to match demand
Mixed Some of each
Demand Options
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Pricing
Promotion
Back orders
New demand
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Aggregate Planning Strategies
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Maintain a level workforce
Maintain a steady output rate
Match demand period by period
Use a combination of decisionvariables
Basic Strategies
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Level capacity strategy: Maintaining a steady rate of regular-time output
while meeting variations in demand by acombination of options.
Chase demand strategy:
Matching capacity to demand; the planned outputfor a period is set at the expected demand for thatperiod.
Chase Approach
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Advantages
Investment in inventory is low
Labor utilization in high
Disadvantages
The cost of adjusting output rates and/or workforce
levels
Level Approach
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Advantages
Stable output rates and workforce
Disadvantages
Greater inventory costs
Increased overtime and idle time
Resource utilizations vary over time
Techniques for Aggregate Planning
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1.Determine demand for each period
2.Determine capacities for each period
3.Identify policies that are pertinent
4.Determine units costs
5.Develop alternative plans and costs
6.Select the best plan that satisfies objectives.
Otherwise return to step 5.
Techniques for Aggregate Planning
Cumulative Graph Fi 13 3
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1 2 3 4 5 6 7 8 9 10
Cumulativeproduction
Cumulativedemand C
u m u l a t i v e o u t p u t / d e m a n d
Figure 13.3
Average Inventory
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Averageinventory
Beginning Inventory + Ending Inventory
2
=
Mathematical Techniques
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Linear programming : Methods for obtaining optimalsolutions to problems involving allocation of scarce resources in terms of cost minimization.
Simulation models : Computerized models that can
be tested under different scenarios to problems.
Summary of Planning TechniquesTable 13 7
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Summary of Planning Techniques
Technique Solution CharacteristicsGraphical/charting Heuristic (trial
and error)Intuitively appealing, easy tounderstand; solution notnecessarily optimal.
Linear
programming
Optimizing Computerized; linear assumptions
not always valid.
Simulation Heuristic (trialand error)
Computerized models can beexamined under a variety ofconditions.
Table 13.7
Aggregate Planning in Services
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Services occur when they are rendered Demand for service can be difficult to predict
Capacity availability can be difficult to predict
Labor flexibility can be an advantage in services
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Master Scheduling
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Master schedule
Determines quantities needed to meet demand
Interfaces with
Marketing
Capacity planning
Production planning
Distribution planning
Master Scheduler
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Evaluates impact of new orders
Provides delivery dates for orders
Deals with problems
Production delays
Revising master schedule Insufficient capacity
Master Scheduling Process Figure 13 6
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Master
Scheduling
Beginning inventory
Forecast
Customer orders
Inputs Outputs
Projected inventory
Master production schedule
Uncommitted inventory
Figure 13.6
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Projected On-hand Inventory
Projected on-hand
inventory
Inventory from
previous week
Current week’s
requirements-=
Projected On-hand Inventory
Figure 13 8
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64 1 2 3 4 5 6 7 8
Forecast 30 30 30 30 40 40 40 40
Customer Orders(committed) 33 20 10 4 2
Projected on-hand
inventory 31 1 -29
JUNE JULY
Beginning
Inventory
Customer orders are
larger than forecast in
week 1
Forecast is larger than
Customer orders in week 2
Forecast is larger than
Customer orders in week 3
Figure 13.8
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Time Fences
Time Fences – points in time
that separate phases of amaster schedule planning
horizon.
Time Fences in MPS Figure 13 12
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Period
“frozen”
(firm or
fixed)
“slushy” somewhat
firm
“liquid”
(open)
Figure 13.12
1 2 3 4 5 6 7 8 9
Solved Problems: Problem 1
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MRP and ERP
Learning Objectives
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Learning Objectives
Describe the conditions under which MRP is most
appropriate.
Describe the inputs, outputs, and nature of MRP
processing. Explain how requirements in a master production
schedule are translated into material requirements
for lower-level items.
Discuss the benefits and requirements of MRP.
Learning Objectives
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Learning Objectives
Explain how an MRP system is useful in capacity
requirements planning.
Outline the potential benefits and some of the
difficulties users have encountered with MRP. Describe MRP II and its benefits.
Describe ERP, what it provides, and its hidden costs.
MRP
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Material requirements planning (MRP): Computer-based information system that translates master
schedule requirements for end items into time-
phased requirements for subassemblies,
components, and raw materials.
Independent and Dependent
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Demand Independent Demand
A
B(4) C(2)
D(2) E(1) D(3) F(2)
Dependent Demand
Independent demand is uncertain.Dependent demand is certain.
Dependant Demand
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Dependent demand : Demand for items that aresubassemblies or component parts to be used
in production of finished goods.
Once the independent demand is known, the
dependent demand can be determined.
Dependent vs Independent Demand Figure 14.1
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Time
Time Time
Time
D e m a n d
D e m a n d
Stable demand“Lumpy” demand
A m o u n t o n h a n d
A m o u n t o n h a n d
Safety stock
gu e
Figure 14.2
Overview of MRP
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MRP Inputs MRP Processing MRP Outputs
Masterschedule
Bill ofmaterials
Inventoryrecords
MRP computerprograms
Changes
Order releases
Planned-orderschedules
Exception reports
Planning reports
Performance-control
reports
Inventorytransaction
Primaryreports
Secondaryreports
g
MPR Inputs
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Master Production Schedule Time-phased plan specifying timing and quantity
of production for each end item.
Material Requirement Planning Process
Master Schedule
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Master schedule : One of three primary inputs inMRP; states which end items are to beproduced, when these are needed, and inwhat quantities.
Cumulative lead time : The sum of the lead timesthat sequential phases of a process require,from ordering of parts or raw materials tocompletion of final assembly.
Planning Horizon Figure 14.4
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1 2 3 4 5 6 7 8 9 10
Procurement
Fabrication
Subassembly
Assembly
g
Time Period (weeks)
Bill-of-Materials
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Bill of materials (BOM): One of the three primary
inputs of MRP; a listing of all of the raw materials,parts, subassemblies, and assemblies needed toproduce one unit of a product.
Product structure tree : Visual depiction of therequirements in a bill of materials, where allcomponents are listed by levels.
Low-level coding : Restructuring the bill of materialsso that multiple occurrences of a component allcoincide with the lowest level the componentoccurs
Product Structure Tree Figure 14.5
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Chair
Seat
Legs (2)Cross
barSide
Rails (2)Cross
barBack
Supports (3)
LegAssembly
BackAssembly
Level0
1
2
3
g
Inventory Records
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One of the three primary inputs in MRP
Includes information on the status of each item bytime period
Gross requirements
Scheduled receipts
Amount on hand Lead times
Lot sizes
And more …
Inventory Requirements
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Inventory Requirements
Net requirements:
Available Inventory:
Net Requirements =
Gross Requirements
– Available Inventory
Available Inventory =
Projected on hand
– Safety stock
– Inventory allocated to other items
Assembly Time Chart Figure 14.7
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1 2 3 4 5 6 7 8 9 10 11
Procurement of
raw material D
Procurement ofraw material F
Procurement of
part C
Procurement ofpart H
Procurement of
raw material I
Fabrication
of part G
Fabricationof part E
Subassembly A
Subassembly B
Final assemblyand inspection
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MPR Processing
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MPR Processing Gross requirements
Total expected demand
Scheduled receipts
Open orders scheduled to arrive
Planned on hand
Expected inventory on hand at the beginning of
each time period
MPR Processing
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MPR Processing Net requirements
Actual amount needed in each time period
Planned-order receipts
Quantity expected to received at the beginning of
the period
Offset by lead time
Planned-order releases
Planned amount to order in each time period
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MRP Primary Reports
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Planned orders - schedule indicating the amountand timing of future orders.
Order releases - Authorization for the execution
of planned orders.
Changes - revisions of due dates or order
quantities, or cancellations of orders.
MRP Secondary Reports
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Performance-control reports Planning reports
Exception reports
Other Considerations
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Safety Stock Lot sizing
Lot-for-lot ordering
Economic order quantity
Fixed-period ordering
MRP in Services
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Food catering service End item => catered food
Dependent demand => ingredients for each recipe,i.e. bill of materials
Hotel renovation
Activities and materials “exploded” into componentparts for cost estimation and scheduling
Benefits of MRP
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Low levels of in-process inventories Ability to track material requirements
Ability to evaluate capacity requirements
Means of allocating production time
Ability to easily determine inventory usage by
backflushing
Backflushing : Exploding an end item’s bill of
materials to determine the quantities of the
components that were used to make the item.
Requirements of MRP
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Computer and necessary software Accurate and up-to-date
Master schedules
Bills of materials
Inventory records
Integrity of data
MRP II
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Expanded MRP with emphasis placed onintegration
Financial planning
Marketing
Engineering
Purchasing
Manufacturing
MRP II Figure 14.14
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MarketDemand
Production
plan
Problems?
Rough-cutcapacity planning
Yes No YesNo
Finance
Marketing
Manufacturing
Adjustproduction plan
Masterproduction schedule
MRP
Capacityplanning
Problems?Requirements
schedules
A d j u s t m a s t e r s
c h e d u l e
Capacity Planning
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Capacity requirements planning : The process
of determining short-range capacity
requirements.
Load reports : Department or work center reports that compare known and
expected future capacity requirements
with projected capacity availability.
Time fences : Series of time intervals during
which order changes are allowed or
restricted.
Capacity Planning Figure 14.15
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Develop a tentative
master productionschedule
Use MRP to
simulate materialrequirements
Convert materialrequirements to
resourcerequirements
Firm up a portionof the MPS
Is shopcapacity
adequate?
Cancapacity be
changed to meetrequirements
Revise tentativemaster production
schedule
Changecapacity
Yes
No
Yes
No
ERP
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Enterprise resource planning (ERP): Next step in an evolution that began with MPR and
evolved into MRPII
Integration of financial, manufacturing, and human
resources on a single computer system.
ERP Software
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ERP software provides a system to capture and make
data available in real time to decision makers and
other users in the organization
Provides tools for planning and monitoring various
business processes
Includes
Production planning and scheduling
Inventory management
Product costing
Distribution
MRP in Services
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Service applications such as:
Professional services
Postal services
Retail Banking
Healthcare
Higher education
Engineering
Logistical services
Real estate
ERP Strategy Considerations
High initial cost
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High initial cost
High cost to maintain Future upgrades
Training
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JIT andLean Operations
Learning Objectives
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Explain what is meant by the term lean
operations system.
List each of the goals of JIT and explain its
importance. List and briefly describe the building blocks of
JIT.
List the benefits of the JIT system. Outline the considerations important in
converting a traditional mode of operations to a
JIT system.
JIT/Lean Production
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Just-in-time (JIT): A highly coordinatedprocessing system in which goods move
through the system, and services are
performed, just as they are needed,
JIT lean production
JIT pull (demand) system
JIT operates with very little “fat”
Goal of JIT
The ultimate goal of JIT is a balanced system
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The ultimate goal of JIT is a balanced system.
Achieves a smooth, rapid flow of materials
through the system
Summary JIT Goals and Building Blocks Figure 15.1
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Product
Design
Process
Design
Personnel
Elements
Manufactur-
ing Planning
Eliminate disruptions
Make the system flexible Eliminate waste
Abalancedrapid flow
UltimateGoal
SupportingGoals
Building
Blocks
Supporting Goals
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Eliminate disruptions
Make system flexible
Eliminate waste, especially excess inventory
Sources of Waste
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Overproduction
Waiting time
Unnecessary transportation
Processing waste
Inefficient work methods
Product defects
Kaizen Philosophy
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Waste is the enemy
Improvement should be done gradually and
continuously
Everyone should be involved Built on a cheap strategy
Can be applied anywhere
Kaizen Philosophy (cont’d)
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Supported by a visual system
Focuses attention where value is created
Process orienteted
Stresses main effort of improvement should comefrom new thinking and work style
The essence of organizational learning is to learn
while doing
Big vs. Little JIT
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Big JIT – broad focus
Vendor relations
Human relations
Technology management
Materials and inventory management
Little JIT – narrow focus
Scheduling materials
Scheduling services of production
JIT Building Blocks
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Product design
Process design
Personnel/organizationalelements
Manufacturingplanning and control
Product Design
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Standard parts
Modular design
Highly capable production systems
Concurrentengineering
Process Design
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Small lot sizes
Setup time reduction
Manufacturing cells
Limited work in process
Quality improvement
Production flexibility
Balanced system
Little inventory storage
Benefits of Small Lot Sizes
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Reduces inventory
Less storage space
Less rework
Problems are more apparentIncreases product flexibility
Easier to balance operations
Single-Minute Exchange
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Single-minute exchange of die (SMED): A system for
reducing changeover time
Categorize changeover activities
Internal – activities that can only be done whilemachine is stopped
External – activities that do not require stopping the
machine
Production Flexibility
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Reduce downtime by reducing changeover
time
Use preventive maintenance to reduce
breakdowns
Cross-train workers to help clear bottlenecks
Production Flexibility (cont’d)
Use many small units of capacity
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Use many small units of capacity
Use off-line buffers Reserve capacity for important customers
Quality Improvement
Autonomation
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Autonomation
Automatic detection of defects during production
Jidoka
Japanese term for autonomation
Production Flexibility
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Balance system: Distributing the workload evenly
among work stations
Work assigned to each work station must be less
than or equal to the cycle time Cycle time is set equal to the takt time
Takt time is the cycle time needed to match
customer demand for final product
Personnel/Organizational Elements
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Workers as assets
Cross-trained workers
Continuous improvement
Cost accounting Leadership/project
management
Manufacturing Planning and Control
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Level loading
Pull systems
Visual systems
Close vendor relationships
Reduced transaction processing
Preventive maintenance
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Kanban Formula
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N = DT(1+X)C
N = Total number of containers
D = Planned usage rate of using work center T = Average waiting time for replenishment of parts
plus average production time for a
container of parts
X = Policy variable set by management- possible inefficiency in the system
C = Capacity of a standard container
Limited Work in Process
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Benefits
Lower carrying costs
Increased flexibility
Aids scheduling Saves cost of rework and scrap
Two general approaches
Kanban – focuses on individual work stations
Constant work in process (CONWIP) – focuses on the
system as a whole
Traditional Supplier Network Figure 15.4a
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Buyer
Supplier Supplier Supplier Supplier
Supplier
Supplier
Supplier
Tiered Supplier Network Figure 15.4b
Buyer
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Supplier
Supplier
Supplier
Supplier Supplier Supplier
Buyer
Supplier First Tier Supplier
Second Tier Supplier
Third Tier Supplier
Preventive Maintenance and
Housekeeping
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Preventative maintenance : Maintaining equipment in
good condition and replacing parts that have a
tendency to fail before they actually fail.
Housekeeping : Maintaining a workplace that is cleanand free of unnecessary materials.
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Comparison of JIT and TraditionalFactor Traditional JIT
Table 15.3
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Inventory Much to offset forecast
errors, late deliveries
Minimal necessary to operate
Deliveries Few, large Many, small
Lot sizes Large Small
Setup; runs Few, long runs Many, short runs
Vendors Long-term relationships
are unusual
Partners
Workers Necessary to do the work Assets
Transitioning to a JIT System
G t t t it t
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Get top management commitment
Decide which parts need most effort
Obtain support of workers
Start by trying to reduce setup times
Gradually convert operations
Convert suppliers to JIT
Prepare for obstacles
Obstacles to Conversion
M t t b itt d
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Management may not be committed
Workers/management may not becooperative
Difficult to change company culture
Suppliers mayresist
Why?
Suppliers May Resist JIT
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Unwilling to commit resources
Uneasy about long-term commitments
Frequent, small deliveries may be difficult
Burden of quality control shifts to supplier Frequent engineering changes may cause JIT
changes
JIT in Services
The basic goal of the demand flow
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g
technology in the service organization is toprovide optimum response to the customer with the highest quality service and lowestpossible cost. Eliminate disruptions Make system flexible
Reduce setup and lead times
Eliminate waste
Minimize WIP
Simplify the process
JIT II: a supplier representative works right in the
JIT II
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JIT II: a supplier representative works right in the
company’s plant, making sure there is an
appropriate supply on hand.
Benefits of JIT Systems
Reduced inventory levels
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Reduced inventory levels
High quality
Flexibility
Reduced lead times Increased productivity
Benefits of JIT Systems (cont’d)
Increased equipment utilization
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Increased equipment utilization
Reduced scrap and rework
Reduced space requirements
Pressure for good vendor relationships Reduced need for indirect labor
Smooth flow of work (the ultimate goal)
Elements of JIT Table 15.4
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Elimination of waste Continuous improvement
Eliminating anything that does not add value
Simple systems that are easy to manage
Use of product layouts to minimize movingmaterials and parts
Quality at the source
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Learning Objectives
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Explain what scheduling involves and the
importance of good scheduling.
Discuss scheduling needs in high-volume and
intermediate-volume systems. Discuss scheduling needs in job shops.
Learning Objectives
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Use and interpret Gantt charts, and use the
assignment method for loading.
Discuss and give examples of commonly used
priority rules. Describe some of the unique problems encountered
in service systems, and describe some of the
approaches used for scheduling service systems.
Scheduling: Establishing the timing of the use of
Scheduling
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Scheduling: Establishing the timing of the use of
equipment, facilities and human activities in an
organization
Effective scheduling can yield
Cost savings
Increases in productivity
High-Volume Systems
Flow system: High-volume system with
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Flow system : High-volume system with
Standardized equipment and activities
Flow-shop scheduling : Scheduling for high-
volume flow system
Work Center #1 Work Center #2 Output
JAN FEB MAR APR MAY JUN
Scheduling ManufacturingOperations
High volume
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Build A
A Done
Build B
B Done
Build C
C Done
Build D
Ship
JAN FEB MAR APR MAY JUN
On time!
High-volume
Intermediate-
volume
Low-volumeService
operations
High-Volume Success Factors
Process and product design
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Process and product design
Preventive maintenance
Rapid repair when breakdown occurs
Optimal product mixes Minimization of quality problems
Reliability and timing of supplies
Intermediate-Volume Systems
Outputs are between standardized high-volume
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systems and made-to-order job shops Run size, timing, and sequence of jobs
Economic run size:
QDS
H
p
p u
0
2
Scheduling Low-Volume Systems
Loading - assignment of jobs to process
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Loading assignment of jobs to processcenters
Sequencing - determining the order in which jobs will be processed
Job-shop scheduling
Scheduling for low-volumesystems with manyvariationsin requirements
Gantt Load Chart Figure 16.2
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Gantt chart - used as a visual aid for loading andscheduling
Work
Center
Mon. Tues. Wed. Thurs. Fri.
1 Job 3 Job 4
2 Job 3 Job 7
3 Job 1 Job 6 Job 7
4 Job 10
Infinite loading – jobs are assigned to work centers
Loading
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without regard for the capacity of the work center. Finite loading – jobs are assigned to work centers
taking into account the work center capacity and job processing times
Vertical loading
Horizontal loading
Loading (cont’d)
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Forward scheduling – scheduling ahead from some
point in time.
Backward scheduling – scheduling by working
backwards in time from the due date(s).
Schedule chart – a form of Gantt chart that shows
the orders or jobs in progress and whether they are
on schedule.
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Sequencing
Priority rules : Simple heuristics
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y e p
used to select the order inwhich jobs will be processed.
Job time : Time needed for setup and processing of a job.
Everything is#1 Priority
Priority Rules
FCFS - first come, first served
Table 16.2
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FCFS first come, first served
SPT - shortest processing time
EDD - earliest due date
CR - critical ratio
S/O - slack per operation
Rush - emergencyTop Priority
Assumptions of Priority Rules
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The setup of jobs is known
Setup time is independent pf processing sequence
Setup time is deterministic
There will be no interruptions in processing such as: Machine breakdowns
Accidents
Worker illness
Average
Example 2 Table 16.4
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3.249.6722.17CR
2.686.3318.33EDD
2.636.6718.00SPT
2.939.0020.00FCFS
Number of Jobs at the
Work Center
AverageTardiness
(days)
AverageFlow Time
(days)Rule
Two Work Center Sequencing
Johnson’s Rule: technique for minimizing
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q g
completion time for a group of jobs to be
processed on two machines or at two work
centers.
Minimizes total idle time
Several conditions must be satisfied
Johnson’s Rule Conditions
Job time must be known and constant
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Job times must be independent of sequence
Jobs must follow same two-step sequence
Job priorities cannot be used
All units must be completed at the firstwork center before moving to second
Johnson’s Rule Optimum Sequence 1.List the jobs and their times at each work center
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2.Select the job with the shortest time3.Eliminate the job from further consideration
4.Repeat steps 2 and 3 until all jobs have been
scheduled
Scheduling Difficulties Variability in
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Setup times Processing times
Interruptions
Changes in the set of jobs
No method for identifying optimal schedule
Scheduling is not an exact science
Ongoing task for a manager
Minimizing Scheduling Difficulties Set realistic due dates
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Focus on bottleneck operations
Consider lot splitting of large jobs
Theory of Constraints
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The Theory of Constraints Goal is to maximize flow
through the entire system
Emphasizes balancing flow
Improve performance of bottleneck: Determine what is constraining the operation
Exploit the constraint
Subordinate everything to the constraint
Determine how to overcome the constraint Repeat the process for the next constraint
Theory if Constraints Metrics
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Throughput – the rateat which the system generates
money through sales
Physical assets – the total system investment
Inventory Buildings and land
Plant and equipment
Operating expense – money the system spends to
convert inventory into throughput
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Yield Management
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Yield Management – the application of pricingstrategies to allocate capacity among various
categories of demand.
The goal is to maximize the revenue generated by
the fixed capacity
Fixed capacity
Hotel, motel rooms
Airline seats
Unsold rooms or seats cannot be carried over
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