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Principles of Management

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McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.

55

Capacity Planning

For Products and Services

5-2

Learning ObjectivesLearning 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

5-3

Capacity PlanningCapacity 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?

5-4

1. Impacts ability to meet future demands2. Affects operating costs3. Major determinant of initial costs4. Involves long-term commitment5. Affects competitiveness6. Affects ease of management7. Globalization adds complexity8. Impacts long range planning

Importance of Capacity DecisionsImportance of Capacity Decisions

5-5

CapacityCapacity

Design capacity maximum output rate or service capacity an

operation, process, or facility is designed for

Effective capacity Design capacity minus allowances such as

personal time, maintenance, and scrap

Actual output rate of output actually achieved--cannot

exceed effective capacity.

5-6

Efficiency and UtilizationEfficiency and Utilization

Actual outputEfficiency =

Effective capacity

Actual outputUtilization =

Design capacity

Both measures expressed as percentages

5-7

Actual output = 36 units/day Efficiency = =

90% Effective capacity 40 units/ day

Utilization = Actual output = 36 units/day =

72% Design capacity 50 units/day

Efficiency/Utilization ExampleEfficiency/Utilization Example

Design capacity = 50 trucks/day

Effective capacity = 40 trucks/day

Actual output = 36 units/day

5-8

Best Operating LevelBest Operating Level

Example: Engineers design engines and assembly lines to operate at an ideal or “best operating level” to maximize output and minimize ware

Example: Engineers design engines and assembly lines to operate at an ideal or “best operating level” to maximize output and minimize ware

Underutilization

Best OperatingLevel

Averageunit costof output

Volume

Overutilization

5-9

Determinants of Effective Determinants of Effective CapacityCapacity

Facilities Product and service factors Process factors Human factors Policy factors Operational factors Supply chain factors External factors

5-10

Strategy FormulationStrategy 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

5-11

Key Decisions of Capacity Key Decisions of Capacity PlanningPlanning

1. 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

5-12

Steps for Capacity PlanningSteps for Capacity Planning

1. Estimate future capacity requirements

2. Evaluate existing capacity

3. Identify alternatives

4. Conduct financial analysis

5. Assess key qualitative issues

6. Select one alternative

7. Implement alternative chosen

8. Monitor results

5-13

Forecasting Capacity Forecasting Capacity RequirementsRequirements

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

5-14

Calculating Processing Calculating Processing RequirementsRequirements

P r o d u c tA n n u a l

D e m a n d

S t a n d a r dp r o c e s s i n g t i m e

p e r u n i t ( h r . )P r o c e s s i n g t i m e

n e e d e d ( h r . )

# 1

# 2

# 3

4 0 0

3 0 0

7 0 0

5 . 0

8 . 0

2 . 0

2 , 0 0 0

2 , 4 0 0

1 , 4 0 0 5 , 8 0 0

P r o d u c tA n n u a l

D e m a n d

S t a n d a r dp r o c e s s i n g t i m e

p e r u n i t ( h r . )P r o c e s s i n g t i m e

n e e d e d ( h r . )

# 1

# 2

# 3

4 0 0

3 0 0

7 0 0

5 . 0

8 . 0

2 . 0

2 , 0 0 0

2 , 4 0 0

1 , 4 0 0 5 , 8 0 0

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

5-15

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 CapacityPlanning Service Capacity

5-16

In-House or OutsourcingIn-House or Outsourcing

1. Available capacity

2. Expertise

3. Quality considerations

4. Nature of demand

5. Cost

6. Risk

Outsource: obtain a good or service from an external provider

5-17

Developing Capacity AlternativesDeveloping 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

5-18

Economies of ScaleEconomies 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

5-19

Optimal Rate of Output

Minimumcost

Av

era

ge

co

st

per

un

it

0 Rate of output

Production units have an optimal rate of output for minimal cost.

Figure 5.4

Minimum average cost per unit

5-20

Economies of ScaleEconomies of Scale

Minimum cost & optimal operating rate are functions of size of production unit.

Av

era

ge

co

st

per

un

it

0

Smallplant Medium

plant Largeplant

Output rate

Figure 5.5

5-21

Economies & Diseconomies of ScaleEconomies & Diseconomies of Scale

100-unitplant

200-unitplant 300-unit

plant

400-unitplant

Volume

Averageunit costof output

Economies of Scale and the Experience Curve workingEconomies of Scale and the Experience Curve working

Diseconomies of Scale start workingDiseconomies of Scale start working

5-22

The The Experience Experience

CurveCurve

As plants produce more products, they gain experience in the best production methods and reduce their costs per unit

As plants produce more products, they gain experience in the best production methods and reduce their costs per unit

Total accumulated production of units

Cost orpriceper unit

Yesterday

Today

Tomorrow

Capacity FocusCapacity Focus

The concept of the focused factory holds that production facilities work best when they focus on a fairly limited set of production objectives

Plants Within Plants (PWP) Extend focus concept to operating level

Capacity FlexibilityCapacity Flexibility

Flexible plants

Flexible processes

Flexible workers

5-25

Evaluating AlternativesEvaluating Alternatives

Cost-volume analysis Break-even point

Financial analysis Cash flow Present value

Decision theory Waiting-line analysis

5-26

Cost-Volume RelationshipsCost-Volume Relationships

Am

ou

nt

($)

0Q (volume in units)

Total cost = VC + FC

Total variable cost (V

C)

Fixed cost (FC)

Figure 5.6a

5-27

Cost-Volume RelationshipsCost-Volume Relationships

Am

ou

nt

($)

Q (volume in units)0

Total r

evenue

Figure 5.6b

5-28

Cost-Volume RelationshipsCost-Volume Relationships

Am

ou

nt

($)

Q (volume in units)0 BEP units

Profit

Total r

even

ue

Total cost

Figure 5.6c

5-29

Break-Even Problem with Step Break-Even Problem with Step Fixed CostsFixed Costs

Quantity

FC + VC = TC

FC + VC = TC

FC + VC =

TC

Step fixed costs and variable costs.

1 machine

2 machines

3 machines

Figure 5.7a

5-30

Break-Even Problem with Step Break-Even Problem with Step Fixed CostsFixed Costs

$

TC

TC

TCBEP2

BEP3

TR

Quantity

1

2

3

Multiple break-even points

Figure 5.7b

Capacity Planning: BalanceCapacity Planning: Balance

Stage 1 Stage 2 Stage 3Unitsper

month6,000 7,000 5,000

Unbalanced stages of productionUnbalanced stages of production

Stage 1 Stage 2 Stage 3Unitsper

month6,000 6,000 6,000

Balanced stages of productionBalanced stages of production

Maintaining System Balance: Output of one stage is the exact input requirements for the next stage

Capacity PlanningCapacity Planning

Frequency of Capacity Additions

External Sources of Capacity

5-33

1.One product is involved2.Everything produced can be sold3.Variable cost per unit is the same

regardless of volume4.Fixed costs do not change with volume5.Revenue per unit constant with volume6.Revenue per unit exceeds variable cost

per unit

Assumptions of Cost-Volume Assumptions of Cost-Volume AnalysisAnalysis

5-34

Financial AnalysisFinancial Analysis

Cash Flow - the difference between cash received from sales and other sources, and cash outflow for labor, material, overhead, and taxes.

Present Value - the sum, in current value, of all future cash flows of an investment proposal.

5-35

Decision TheoryDecision Theory

Helpful tool for financial comparison of alternatives under conditions of risk or uncertainty

Suited to capacity decisions See Chapter 5 Supplement

5-36

Waiting-Line AnalysisWaiting-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

5-37

Bottleneck OperationBottleneck OperationFigure 5.2

Machine #2Machine #2BottleneckOperation

BottleneckOperation

Machine #1Machine #1

Machine #3Machine #3

Machine #4Machine #4

10/hr

10/hr

10/hr

10/hr

30/hr

Bottleneck operation: An operationin a sequence of operations whosecapacity is lower than that of theother operations

5-38

Bottleneck OperationBottleneck Operation

Operation 120/hr.

Operation 210/hr.

Operation 315/hr.

10/hr.

Bottleneck

Maximum output ratelimited by bottleneck