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5-1 Chapter 5 Chapter 5 Strategic Capacity Planning For Products and Services
33

Ch 05 operations management

Apr 13, 2015

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Ahasan Habib

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Page 1: Ch 05 operations management

5-1

Chapter 5Chapter 5

Strategic Capacity Planning For Products and Services

Page 2: Ch 05 operations management

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

Page 3: Ch 05 operations management

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?

Page 4: Ch 05 operations management

5-4

1. Impacts ability to meet future demands

2. 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 Importance of Capacity DecisionsDecisions

Page 5: Ch 05 operations management

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.

Page 6: Ch 05 operations management

5-6

Efficiency and UtilizationEfficiency and Utilization

Actual outputEfficiency =

Effective capacity

Actual outputUtilization =

Design capacity

Both measures expressed as percentages

Page 7: Ch 05 operations management

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

Page 8: Ch 05 operations management

5-8

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

Page 9: Ch 05 operations management

5-9

Strategy FormulationStrategy Formulation

Capacity strategy based on: Growth rate and variability in demand

Facilities Cost of building and operating facilities

Technological changes Rate and direction of technology innovation

Behavior of competitors

Availability of capital and other inputs

Page 10: Ch 05 operations management

5-10

Key Decisions of Capacity PlanningKey Decisions of Capacity Planning

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

Page 11: Ch 05 operations management

5-11

Steps for Capacity PlanningSteps for Capacity Planning

1. Estimate future capacity requirements2. Evaluate existing capacity3. Identify alternatives4. Conduct financial analysis5. Assess key qualitative issues6. Select one alternative7. Implement alternative chosen8. Monitor results

Page 12: Ch 05 operations management

5-12

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

Page 13: Ch 05 operations management

5-13

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 (8 hrs x 250 days), then we need three machines to handle the required volume: 5,800 hours/2,000 hours = 2.90 machines

Page 14: Ch 05 operations management

5-14

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

Challenges of Planning Service Challenges of Planning Service CapacityCapacity

Page 15: Ch 05 operations management

5-15

In-House or OutsourcingIn-House or Outsourcing

1. Available capacity2. Expertise3. Quality considerations4. Nature of demand5. Cost6. Risk

Outsource: obtain a good or service from an external provider

Page 16: Ch 05 operations management

5-16

Developing Capacity Developing Capacity Alternatives 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

Page 17: Ch 05 operations management

5-17

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

Page 18: Ch 05 operations management

5-18

Bottleneck OperationBottleneck Operation

Operation 120/hr.

Operation 210/hr.

Operation 315/hr.

10/hr.

Bottleneck

Maximum output ratelimited by bottleneck

Page 19: Ch 05 operations management

5-19

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

Page 20: Ch 05 operations management

5-20

Optimal Rate of Output

Minimumcost

Avera

ge c

ost

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

Page 21: Ch 05 operations management

5-21

Economies of ScaleEconomies of Scale

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

Avera

ge c

ost

per

un

it

0

Smallplant Medium

plant Largeplant

Output rate

Figure 5.5

Page 22: Ch 05 operations management

5-22

Evaluating AlternativesEvaluating Alternatives

Cost-volume analysis Break-even point

Financial analysis Cash flow Present value

Decision theory

Waiting-line analysis

Page 23: Ch 05 operations management

5-23

Cost-Volume Relationships Cost-Volume Relationships

Am

ou

nt

($)

0Q (volume in units)

Total cost

= VC + FC

Total varia

ble cost

(VC)

Fixed cost (FC)

Figure 5.6a

Page 24: Ch 05 operations management

5-24

Cost-Volume RelationshipsCost-Volume Relationships

Am

ou

nt

($)

Q (volume in units)0

Tota

l rev

enue

Figure 5.6b

Page 25: Ch 05 operations management

5-25

Cost-Volume RelationshipsCost-Volume Relationships

Am

ou

nt

($)

Q (volume in units)0 BEP units

Profit

Tota

l rev

enue

Total cost

Figure 5.6c

Page 26: Ch 05 operations management

5-26

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

Quantity

FC + VC = TCFC + VC = TC

FC + VC =

TC

Step fixed costs and variable costs.

1 machine

2 machines

3 machines

Figure 5.7a

Page 27: Ch 05 operations management

5-27

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

$

TC

TC

TCBEP

2

BEP3

TR

Quantity

1

2

3

Multiple break-even points

Figure 5.7b

Page 28: Ch 05 operations management

5-28

The owner of Old-Fashioned Berry Pies, S. Simon, is contemplating adding a new line of pies, which will require leasing new equipment for a monthly payment of $6,000. Variable costs would be $2.00 per pie, and pies would retail for $7.00 each.1. How many pies must be sold in order to break even?2. What would the profit (loss) be if 1,000 pies are made and sold in a month?3. How many pies must be sold to realize a profit of $4,000?4. If 2,000 pies can be sold, and a profit target is $5,000, what price should be charged per pie?

Cost-Volume AnalysisCost-Volume Analysis

Page 29: Ch 05 operations management

5-29

A manager has the option of purchasing one, two, or three machines. Fixed cost and potential volumes are as follows:

Number Total annual Correspondingof Machines Fixed Cost Range of Output1 $ 9,600 0 to 3002. $ 15,000 301 to 6003.$ 20,000 601 to 900

Variable cost is $10 per unit, and revenue is $40 per unit.

A.Determine the break-even point for each range.B. If projected annual demand is between 580 and 660

units, how many machines should the manager purchase?

Cost-Volume AnalysisCost-Volume Analysis

Page 30: Ch 05 operations management

5-30

1. One product is involved

2. Everything produced can be sold

3. Variable cost per unit is the same regardless of volume

4. Fixed costs do not change with volume

5. Revenue per unit constant with volume

6. Revenue per unit exceeds variable cost per unit

Assumptions of Cost-Volume Assumptions of Cost-Volume AnalysisAnalysis

Page 31: Ch 05 operations management

5-31

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.

Pay back period

Internal rate of return

Page 32: Ch 05 operations management

5-32

Decision TheoryDecision Theory

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

Suited to capacity decisions

See Chapter 5 Supplement

Page 33: Ch 05 operations management

5-33

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