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Strategic Capacity Planning - PPT Presentation

Chapter 5 Learning Objectives Name the three key questions in capacity planning Explain the importance of capacity planning Describe ways of defining and measuring capacity Name several determinants of effective capacity ID: 247609

cost capacity volume 000 capacity cost 000 volume unit costs demand output pies pie variable profit units rate revenue

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Slide1

Strategic Capacity Planning

Chapter 5Slide2

Learning Objectives

Name the three key questions in capacity planning

Explain the importance of capacity planning

Describe ways of defining and measuring capacity

Name several determinants of effective capacity

Perform

cost-volume analysisSlide3

Capacity Planning

Capacity

The upper limit or ceiling on the load that an operating unit can handle

Capacity needs include

Equipment

Space

Employee skills

Strategic Capacity Planning

To achieve a match between the

long-term

supply capabilities of an organization and the predicted level of

long-term

demand

Over-capacity

 operating costs that are too high

Under-capacity  strained resources and possible loss of customersSlide4

Capacity Planning Questions

Key Questions:

What kind

of capacity is needed?

How much

is needed to match demand?

When

is it needed?

Related Questions:

How much will it cost?

What are the potential benefits and risks?

Are there sustainability issues?

Should capacity be changed all at once, or through several smaller changes

Can the supply chain handle the necessary changes?Slide5

Capacity Decisions Are Strategic

Capacity decisions:

impact the ability of the organization to meet future

demands

http://

www.microsoft.com/Investor/EarningsAndFinancials/Earnings/SegmentResults/S2/FY14/Q1/Performance.aspx

affect

operating costs

major

determinant of initial cost

(often) involve long-term commitment of resources

affect competitiveness

affect

the ease of managementSlide6

Demand Management Strategies

Strategies used to offset capacity limitations and that are intended to achieve a closer match between supply and demand

Appointments

Pricing

Promotions

Discounts

Other tactics to shift demand from peak periods into slow periodsSlide7

Defining and Measuring Capacity

Design capacity

Maximum

output rate or service capacity an operation, process, or facility is

designed for

.

Effective capacity

Design capacity

minus

inefficiencies

such as operational factors, personal time, maintenance, scrap etc. -

cannot exceed design capacity

.

Actual output

Rate of output

actually achieved

—cannot exceed effective capacity.Slide8

Capacity: Illustration

These are

design capacity

from Boeing.

But you typically won’t get to reach this design capacity because some seats are taken out for, say,

extra room for

emergency exit. That’s why you have

effective capacity

.

Actual

output

would be equal of less than the effective capacity because you don’t always have that many passengers on the plane.Slide9

Measuring System Effectiveness

Efficiency

(Measured as percentages)

Utilization

(Measured as percentages

)

Efficiency

=

Actual output

Effective capacity

Utilization

=

Actual output

Design capacitySlide10

Example: Efficiency

and Utilization

Design Capacity = 50 trucks per day

Effective Capacity = 40 trucks per day

Actual Output = 36 trucks per day

Efficiency

=

Actual output

=

36

= 90%

Effective capacity

40

Utilization

=

Actual output

=

36

= 72%

Design capacity

50Slide11

Determinants of Effective Capacity

Facilities

Size, expansions, layout, transportation costs, distance to market, labor supply, energy sources

Product and service factors

(non) uniformity of output, product/service mix

Process factors

Productivity, quality, setup-time

Human factors

Tasks, variety of activities, training, skills, learning, experience, motivation, labor turnoverSlide12

Determinants of Effective Capacity

Policy factors

Overtime, second/third shifts

Operational factors

Scheduling, inventory, purchasing, materials, quality assurance/control, breakdowns, maintenance

Supply chain factors

Suppliers, warehousing, transportation, distributors

External factors

Product standards, minimum quality, safety, environment, regulations, unionsSlide13

Capacity Strategies

Leading

Build capacity in

anticipation

of future demand increases

E.g., let’s expand the restaurant because we

expect

to serve more customers in the

next year

Following

Build capacity when demand exceeds current capacity

E.g., let’s expand the restaurant because we have been full up all the time in the

past

year

Tracking

Similar to the following strategy, but adds capacity in

relatively small increments

to keep pace with increasing demand

E.g., let’s expand the restaurant because we have been full up all the time in the past monthSlide14

Capacity Cushion/Safety

Capacity

Capacity Cushion / Safety Capacity

Extra capacity used to offset demand uncertainty

Capacity cushion = Capacity – expected demand

Capacity cushion strategy

Organizations that have greater

demand uncertainty

typically use greater capacity cushion

Organizations that have

standard products and services

generally use smaller capacity cushionSlide15

Forecasting Capacity Requirements

Long-term

considerations relate to

overall

level

of capacity requirements

Require

forecasting demand

over a time horizon and

converting

those needs

into capacity requirements

E.g., Our hotel expect to serve 10 thousand customers next year.

Short-term

considerations relate to

probable variations

in capacity requirements

Less concerned with cycles and trends than with

seasonal variations and other variations from averageE.g., Our hotel expect to serve 10 thousand customers next year. But the demand will be higher in the summer, lower in the winter, and normal in the spring and fall. Slide16

Common demand patternsSlide17

Calculating Processing Requirements

Calculating processing requirements requires:

reasonably accurate demand forecasts,

standard processing times

available work timeSlide18

Example

If annual capacity is 2,000 hours/machine, then

Units of capacity needed = 5,800 hours ÷ 2,000 hours = 2.90

3 machines

Product

Annual Demand

Standard processing time per unit (hr.)

Processing time needed (hr.)

#1

400

5

2000

#2

300

8

2400

#3

700

2

1400

Total=5800Slide19

Service Capacity Planning

Service capacity planning can present a number of challenges related to:

The need to be near customers

Convenience

The inability to store services

Cannot store services for consumption later

The degree of demand volatility

Volume and timing of demand

Time required to service individual customersSlide20

In-House or

Outsource

Once capacity requirements have been determined, the organization must decide whether

to

produce a good or provide a service itself

,

or to

outsource from

another

organization

.

Factors to consider when deciding whether to operate

in-house or outsource

Available capacity

Expertise

Quality considerationsThe nature of demandCostRisksSlide21

Case Study

How much would an all-American iPhone cost?

NPR Marketplace

http://www.marketplace.org/topics/business/ive-always-wondered/how-much-would-all-american-iphone-cost

Audio (4:33)

Pay attention to:

Logistic efficiency

Cost structure

Components

International

expertise

Consumer base

While listening, take notes on the above 5 items

Use the notes, discuss why/when a company decides to outsource?Slide22

Developing Capacity Strategies

There are a number of ways to enhance development of capacity strategies:

Design flexibility into

systems.

Provision for future

expansion

Take stage of

life cycle

into

account.

Take

a “

big-picture

” (i.e., systems) approach to capacity

changes.

Prepare to deal with capacity “chunks.”

Capacity increments are not usually smooth

Attempt to smooth out capacity

requirements.

Overtime; subcontract; inventory controlIdentify the optimal operating level: economies of scale.Slide23

Product Life Cycle

In the

introduction

phase,

organizations should be cautious in making large and/or inflexible capacity investments.

In the

growth

phase,

organizations should consider their market share, competitors’ moves, and establishing competitive advantages.

In the

maturity

phase,

organizations may still be able to increase profitability by reducing costs and making full use of capacity.

In the

decline

phase, organizations may eliminate the excess capacity by selling it, or by introducing new products or services.Slide24

“Big-Picture ” Approach

Bottleneck Operation

An operation in a sequence of operations whose capacity is lower than that of the other operations

Operation 1

20/hr.

Operation 2

10/hr.

Operation 3

15/hr.

10/hr.

Bottleneck

Maximum output rate

limited by bottleneckSlide25

Optimal Operating Level

Minimum

cost

Average cost per

unit

0

Rate of

output

Minimum average cost per unit

Economies of Scale

If output rate is less than the optimal level, increasing the output rate results in decreasing average per unit costs

Diseconomies of Scale

If the output rate is more than the optimal level, increasing the output rate results in increasing average per unit costsSlide26

Economies of Scale

Economies of Scale

If output rate is less than the optimal level, increasing the output rate results in decreasing average per unit costs

Reasons for economies of scale:

Fixed costs

are spread over a larger number of units

Processing costs decrease due to

standardization

There are two types of economies of scale:

Internal

. These are cost savings that accrue to a firm regardless of the industry, market or environment in which it operates.

It is easier for large firms to carry the overheads of sophisticated research and development (R&D). E.g., pharmaceuticals industry

External

. These are economies that benefit a firm because of the way in which its industry is organized.

E.g., The creation of a better transportation networkSlide27

Diseconomies of Scale

Diseconomies of Scale

If the output rate is more than the optimal level, increasing the output rate results in increasing average per unit costs

Reasons for diseconomies of scale

Congestion (transportation)

Complexity (

customerization

)

Inflexibility

Additional levels of managementSlide28

Evaluating Alternatives

Cost-volume analysis

Break-even point

Indifference point

Financial analysis

Cash flow

Present value

Decision theory

Comparison of alternatives under risk and uncertainty.

Waiting-line analysis

Balance waiting cost and increased capacity cost

Simulation

Evaluate “what-if” scenariosSlide29

Cost-Volume Analysis Assumptions

Cost-volume analysis is a viable tool for comparing capacity alternatives

if

certain

assumptions are satisfied:

One product is involved

Everything produced can be sold

The variable cost per unit is the same regardless of

volume

Fixed costs do not change with volume changes (or they are step changes)

The revenue per unit is the same regardless of volume

Revenue per unit exceeds variable cost per unitSlide30

Cost-Volume Analysis

Focuses on the relationship between

cost

,

revenue

, and

volume

of output

Fixed Costs (FC)

tend to remain constant regardless of output volume

Variable Costs (VC)

vary directly with volume of output

VC = Quantity (Q) x variable cost per unit (v)

Total Cost

TC = FC + VC

Total Revenue (TR)TR = revenue per unit (R) x QSlide31

Break Even Point

Break-Even-Point (BEP)

The volume of output at which

total cost and total revenue are equal

(profit = 0

)

Profit (

P

) = 0 = TR – TC

= (

R

×

Q

) – (FC +

v

× Q)= Q(R – v) – FC

0 =

Q

BEP

(R – v) – FC

P: Profit

Q: Quantity

TR: Total Revenue

TR = revenue per unit (

R

) x

Q

TC: Total Cost

TC = FC + VC

FC: Fixed Costs

VC: Variable Costs

VC =

Q

x variable cost per unit (

v

)Slide32

Cost-volume

relationships

32Slide33

Cost-volume

relationships

33

This line shows the difference between TR and TC.Slide34

Exercise

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 per pie, and pies would retail for $7 each.

How many pies must be sold in order to break even?

What would the profit (loss) be if 1,000 pies are made and sold in a month?

How many pies must be sold to realize a profit of $4,000?

If 2,000 can be sold, and a profit target is $5,000, what price should be charged per pie?Slide35

Solution

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 per pie, and pies would retail for $7 each.

How many pies must be sold in order to break even

?

FC = $6000 VC = $2 per pie R = $7 per pie

Q

BEP

= FC / (R

VC) = 6000 / (7

2) = 1200 pies/monthSlide36

Solution

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 per pie, and pies would retail for $7 each.

What would the profit (loss) be if 1,000 pies are made and sold in a month?

FC = $6000 VC = $2 per pie R = $7 per pie

For Q = 1000, P = Q(R

v)

FC = 1000(7 – 2) – 6000 = –1000Slide37

Solution

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 per pie, and pies would retail for $7 each.

How many pies must be sold to realize a profit of $4,000

?

FC = $6000 VC = $2 per pie R = $7 per pie

Q = (P + FC) / (R

v) = (4000 + 6000) / (7

2) = 2000 piesSlide38

Solution

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 per pie, and pies would retail for $7 each.

If 2,000 can be sold, and a profit target is $5,000, what price should be charged per pie

?

FC = $6000 VC = $2 per pie R = $7 per pie

Profit = Q(R

v) – FC

5000 = 2000(R

2) – 6000

 R = $7.5

R =

(P + FC

– v

×

Q

) /

Q = (5000 + 6000

+ 2

× 2000) / 2000 = 7.5

Alternative approach:Slide39

Indifference Point (Profit)

Two (multiple) Alternatives

The quantity at which a decision maker would be indifferent between two competing

alternatives.

Choose B

Alternative A (in-house)

R >> v

v low

FC high

BEP high

Alternative B (outsource)

R > v

v high

FC low

BEP low

Choose ASlide40

Indifferent Point (Cost)

A manufacturer has 3 options:

Use process

A

with FC=$80,000 and v=$75/unit

Use process

B

with FC=$200,000 and v=$15/unit

P

urchase for $200/units (in other words, FC=$0 and v=$200/unit)

80,000+75Q

=

200,000+15Q

Q

AB

=2,000 units

80,000+75Q

=

200Q

Q

PA

=640 units

Choose

lowest cost:0-640 units : Purchase640-2,000 units: Process A

Above 2,000 units:

Process BSlide41

Exercise

A firm's manager must decide whether to make or buy a certain item used in the production of vending machines. Cost and volume estimates are as follows

:

Given these numbers, should the firm buy or make this item?

There

is a possibility that volume could change in the future. At what volume would the manager be indifferent between making and buying?Slide42

Solution

Given these numbers, should the firm buy or make this item?

Total cost = Fixed cost

+ Volume

× Variable cost

Make: $150,000 + 12,000 × $60 = $870,000

Buy: $0

+ 12,000 ×

$80

=

$960,000

Because the annual cost of making the item is less than the annual cost of buying it, the manager would reasonably choose to make the item. Slide43

Solution

There is a possibility that volume could change in the future. At what volume would the manager be indifferent between making and buying?

To determine the volume at which the two choices would be equivalent, set the two total costs equal to each other and solve for volume:

TC

make

= TC

buy

Thus

,

$

150,000 +

Q

($60) = 0 +

Q

($80).

Solving

,

Q

= 7,500 units

.

For lower volumes, the choice would be to buy, and for higher volumes, the choice would be to makeSlide44

Cost-Volume Analysis Assumptions

Cost-volume analysis is a viable tool for comparing capacity alternatives

if

certain

assumptions are satisfied:

One product is involved

Everything produced can be sold

The variable cost per unit is the same regardless of

volume

Fixed costs do not change with volume changes (

or they are step changes

)

The revenue per unit is the same regardless of volume

Revenue per unit exceeds variable cost per unitSlide45

Step Costs

Capacity alternatives may involve step costs, which are costs that increase stepwise as potential volume increases.

The implication of such a situation is the possible occurrence of multiple break-even quantities

.Slide46

Exercise

A manager has options to purchase one, two, or three machines. Fixed costs are as follows:

Variable

cost is $10 per unit, revenue is $40 per unit

Determine the break-even point for each range.

If projected annual demand is between 580 and 660 units, how many machines should the manager purchase

Number of Machines

Total Annual Fixed Cost

Corresponding

Range of output

1

$9,600

0 to 300

2

15,000

301 to 600

3

20,000

601 to 900Slide47

Solution

Determine the break-even point for each range.

Number of Machines

Total Annual Fixed Cost

Corresponding

Range of output

1

$9,600

0 to 300

2

15,000

301 to 600

3

20,000

601 to 900

1 machine: Q

BEP

= $9,600/($40/unit-$10/unit) = 320 units

2 machine: Q

BEP

= $15,000/($40/unit-$10/unit) = 500 units

3 machine: Q

BEP = $20,000/($40/unit-$10/unit) = 666.67 unitsSlide48

Exercise

If projected annual demand is between 580 and 660 units, how many machines should the manager

purchase

Comparing the projected range of demand to the two ranges for which a BEP occurs, you can see that the BEP is 500, which is in the range 301 to 600. This means that even if demand is at the low end of the range, it would be above the BEP and thus yield a profit. That is not true of range 601 to 900. At the top end of projected demand, the volume would still be less than the BEP for that range, so there would be no profit. Hence,

the manager should choose two machines

.