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CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

Chapter 5

Process Selection and Capacity Planning

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-2

Process Selection

• How an organization chooses to produce its goods or provide its services

• Key aspects– make or buy decisions– capital intensity– process flexibility

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-3

Forecasting

Product and service design

Capacity planning

Facilities andEquipment

Layout

Work design

Processselection

Figure 5-1

Technologicalchange

Technologicalchange

Process Selection and System Design

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-4

Process Selection and Capacity Planning

• Make or Buy?– Available capacity– Expertise– Quality considerations– The nature of demand– Cost

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-5

Type of Operation

• Continuous Processing

• Repetitive/Assembly– Semicontinuous

• Intermittent/Batch Processing

• Job Shops– Small runs

• Projects– Nonroutine jobs

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-6

ProductVariety

High Moderate Low Very Low

Equipmentflexibility

High Moderate Low Very Low

LowVolume

ModerateVolume

HighVolume

Very highVolume

JobShop

Batch

Repetitiveassembly

ContinuousFlow

Table 5-16 Variety, Flexibility, & Volume

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-7Flexibility-Quality Dependability-Cost

ContinuousFlow

AssemblyLine

Batch

JobShop

LowVolumeOne of a

Kind

MultipleProducts,

LowVolume

FewMajor

Products,HigherVolume

CommercialPrinter

HeavyEquipment

AutomobileAssembly

SugarRefinery

Flexibility-Quality

DependabilityCost

Product-Process Life Cycle MatrixHigh

Volume,High

Standard-ization

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-8

Automation (1 of 2)

• Processes that have sensing and control devices that enable it to operate automatically

• Three kinds– fixed– programmable

• computer-aided design and manufacturing systems (CAD/CAM)

• numerically controlled (NC) machines• robot

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-9

Automation (2 of 2)

– flexible• manufacturing cells

• flexible manufacturing systems (FMS)

• computer-integrated manufacturing (CIM)

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-10

Capacity Planning

• Capacity is the upper limit or ceiling on the load that an operating unit can handle

• The basic questions in capacity handling are– What kind of capacity is needed?– How much is needed?– When is it needed?

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-11

Importance of Capacity Decisions

• Impact the ability of the firm to meet future demands for products and services

• Affect operating costs

• Usually a major determinant of initial cost

• Involves long-term commitment of resources and difficult to modify

• Affect competitiveness

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-12

Types of Capacity

• Design capacity– maximum obtainable output

• Effective capacity– Maximum capacity given product mix,

scheduling difficulties, and other doses of reality.

• Actual output– rate of output actually achieved--cannot

exceed effective capacity.

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-13

Actual outputEfficiency =

Effective capacity

Actual outputUtilization =

Design capacity

Efficiency and Utilization

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-14

Design capacity = 50 trucks/day

Effective capacity = 40 trucks/day

Actual output = 36 units/day

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 Example

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-15

Determinants of Effective Capacity

• Facilities

• Products or services

• Processes

• Human considerations

• Operations

• External forces

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-16

Vo

lum

e

Vo

lum

e

Vo

lum

e

Vo

lum

e

0 0

0 0

Time Time

Time Time

Growth Decline

Cyclical Stable

Figure 5-4Some Possible Growth Patterns

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-17

Developing Capacity Alternatives

• Design flexibility into systems

• Take a “big picture” approach to capacity changes

• Prepare to deal with capacity “chunks”

• Attempt to smooth out capacity requirements

• Identify the optimal operating level

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-18

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 5-6 Optimal Output Rate

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-19

Av

era

ge

co

st

per

un

it

0

Smallplant Medium

plant Largeplant

Output rate

Figure 5-7

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

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-20

Evaluating Alternatives

• Calculating processing requirements

• Cost-Volume analysis

• Financial analysis

• Decision theory

• Waiting line analysis

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-21

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

Calculating Processing Requirement(Example 2, page 218)

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-22

Calculating Processing Requirements - Example 2

• One eight shift/day 250 days a year

= 8 hr/day x 250 days/yr

= 2000 hr/machine/yr

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-23

Break-Even Analysis (1 of 2)

• Objective is to find the point, in dollars and units, at which costs equal revenues

• Costs– Fixed - continue even if no units are produced– Variable - vary with the volume of units produced

• labor

• material

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-24

Break-Even (2 of 2)

• Revenue function - begins at the origin and increases by the selling price of each unit

• Crossover charts (see page 224)– uses cost-volume relationships to identify

which alternative has the lowest total cost for a particular volume range

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-25

Cost-Volume Relationships

Am

ou

nt

($)

0Q (volume in units)

Total cost = VC + FC

Total variable cost (V

C)

Fixed cost (FC)

Figure 5-8a

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-26

Cost-Volume Relationships

Am

ou

nt

($)

Q (volume in units)0

Total r

evenueFigure 5-8b

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-27

Breakeven Chart

0

1

0 200 400 600 800 1000

Fixed cost

Variable cost

Total cost line

Total revenue line

Profit corridorBreakeven pointTotal cost = Total revenue

Volume (units/period)

Co

st in

Do

llars

(T

ho

usa

nd

s)

Loss corridor

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-28

Example - 3

• Equipment lease = FC = $6,000.00• Cost per pie = VC = $2.00• Revenue per pie = Rev = $7.00

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

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-29

Example - 3

• Equipment lease = FC = $6,000.00• Cost per pie = VC = $2.00• Revenue per pie = Rev = $7.00

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

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-30

Example - 3

• Equipment lease = FC = $6,000.00• Cost per pie = VC = $2.00• Revenue per pie = Rev = $7.00

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

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-31

Crossover Chart

Fixed cost

$Variable

cost

$

Variablecost

Fixed cost

$Variable

cost

Alternative 1Purchase

Alternative 2Process A

Alternative 3Process B

Volume

Total cost for Alternative 3

Total cost for Alternative 1Total cost for Alternative 2

X

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-32

Crossover Chart

Fixed cost

$Variable

cost

$

Variablecost

Fixed cost

$Variable

cost

Alternative 1Purchase

Alternative 2Process A

Alternative 3Process B

Volume

Total cost for Alternative 3

Total cost for Alternative 1Total cost for Alternative 2

Total Cost Line

X

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-33

Finding Crossover VolumesAt a crossover volume, X, the total cost of

one alternative equals the total cost of another alternative. Thus

TC1 = TC2

FC1+VC1(X) = FC2+VC2(X)

VC1(X) = FC2+VC2(X)-FC1

VC1(X)-VC2(X) = FC2-FC1

(VC1-VC2)(X) = FC2-FC1

X = (FC2-FC1)/(VC1-VC2)

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-34

Finding Crossover VolumeA company must choose between two

processes. The fixed and variable costs for each alternative are

FC1 = $170,000 FC2 = $190,000

VC1 =$9 VC2 =$4Over what volume ranges would you

prefer each alternative?

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-35

Crossover Chart

Fixed cost

$Variable

cost

Alternative 1

Fixed cost

$Variable

cost

Alternative 2

Volume

Total cost for Alternative 2

Total cost for Alternative 1

Total Cost Line

Xprefer alternative 2 prefer alt.1

$

CHAPTER FIVEPROCESS SELECTION AND CAPACITY PLANNING

MTSU Management 362 5-36

Other Evaluation Approaches• Financial 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

• Decision theory• Waiting line analysis

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