Set 7 due April 11 Set 8 due Apr 18 C-3 due Apr 18.

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Set 7 due April 11 • Set 8 due Apr 18 • C-3 due Apr 18
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Transcript of Set 7 due April 11 Set 8 due Apr 18 C-3 due Apr 18.

Page 1: Set 7 due April 11 Set 8 due Apr 18 C-3 due Apr 18.

Set 7 due April 11

• Set 8 due Apr 18

• C-3 due Apr 18

Page 2: Set 7 due April 11 Set 8 due Apr 18 C-3 due Apr 18.

DECISION ANALYSIS:Ch 12

I. Probabilities Given A. Expected Value

B. Opportunity Loss II. Probabilities NOT Given

A. Maximax B. Maximin

C. Minimax

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I.A. Expected Value

)()( xxPxE

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Expected Value

x P(x) xP(x)

2 .7 1.4

3 .3 0.9

SUM 1 2.3=E(x)

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Excel

Previous table as computer spreadsheet

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Probability

Here: given Real life: Calculate using formulas in

previous section

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Decision Example

Should we build a new plant?

Source: Render,B. and Stair,R.,

Quantitative Analysis (6th ed)

Prentice-Hall, 1997, p 100

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Alternative Actions

Act 1: Build large plant Act 2:Build small plant

Act 3:Do not build new plant

OBJECTIVE: Maximize Profit

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Outcomes (States of Nature)

P(x)

(1) Favorable demand .5 (2)Unfavorable

demand .5

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Payoff Table

Action Favorable

Demand

Un-

Favorable

Large plant $ 200,000 -180,000

Small plant 100,000 -20,000

No plant 0 0

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Expected Value: Large Plant

Outcome x=payoff P(x) xP(x)

Favorable 200,000 .5 100,000

Un-favorable

-180,000 .5 -90,000

E(x) 10,000

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Expected Value: Small Plant

Outcome x= payoff P(x) xP(x)

Favorable 100,000 .5 50,000

Un-favorable

-20,000 .5 -10,000

E(x) 40,000

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Summary

Act E(x)

Large plant 10,000

Small plant 40,000=MAX E(x)

No plant 0

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Objective: MAX E(x)

Build small plant

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DECISION TREE

Alternative Graphical Tool to re-do

same problem

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Symbols in tree

Decision Node

Outcome Node

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40,000

10,000

40,000

200,000

-180,000

100,000

-20,000

0

Large

Small

No

Fav

Fav

Unfav

Unfav

.5

.5

.5

.5

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IB: Opportunity Loss

OL = Best payoff for each outcome

- Actual

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Payoff Table

Action Favorable

Demand

Un-

Favorable

Large plant $ 200,000=

BEST IN COL

-180,000

Small plant 100,000 -20,000

No plant 0 0 = BEST IN

COLUMN

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OL Table

Action Favorable

Demand

Un-

Favorable

Large plant $ 200,000

-200,000= 0

0-(-180,000)=

180,000

Small plant 200,000

-100,000=

100,000

0-(-20,000)=

20,000

No plant 200,000

-0=200,000

0-0=0

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Economic Interpretation

Loss resulting from wrong decision

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Different Example

Quit job to start new business.

OL= Loss of current salary

+loss of interest income if you withdraw from savings

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EOL=Expected OL: Large Plant

Outcome OL P(OL) OL(P(OL))

Favorable 0 .5 0

Un-favorable

180,000 .5 90,000

EOL 90,000

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EOL=Expected OL: Small Plant

Outcome OL P(OL) OL(P(OL))

Favorable 100,000 .5 50,000

Un-favorable

20,000 .5 10,000

EOL 60,000

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EOL=Expected OL: No Plant

Outcome OL P(OL) OL(P(OL))

Favorable 200,000 .5 100,000

Un-favorable

0 .5 0

EOL 100,000

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Summary

Act EOL

Large plant 90,000

Small plant 60,000=MIN EOL

No plant 100,000

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Summary

Build Small Plant to MIN EOL

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Compare and Contrast

• Both E(x) and EOL give same optimal decision (Build small plant)

• Both E(x) and EOL have same arithmetic differences between optimal and alternatives

• EOL better than E(x) to interpret “do nothing” alternative

• MINIMUM EOL = EVPI = Expected Value of Perfect Information = Most you would pay someone to tell you if demand favorable or unfavorable

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EVPI = $60,000

Suppose consultant bid $70,000>EVPI, so reject bid

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CAUTION

No consultant has perfect information, so bid should be much

less than $60,000

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II. Probabilities Not Given

Some managers do not trust subjective probabilities

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IIA. MAXIMAX

Same example as before, but without probabilities Note: Go back to

original payoff table

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MAXIMAX

Step 1: For each act, find the outcome with maximum payoff

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Maximax Step 1

Action Favorable

Demand

Un-

Favorable

Large plant $ 200,000=MAX IN ROW

-180,000

Small plant 100,000= MAX IN ROW

-20,000

No plant 0= MAX IN ROW

0

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Maximax Step 2

Choose the act with maximum of maximum values

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Maximax

Act Maximum

Large plant 200,000= MAX of MAX

Small plant 100,000

No plant 0

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Maximax Decision

Build large plant

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What personality type is Maximax?

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Maximax personality

• Optimistic

• Aggressive

• Risk seeker (gambler)

• Entrepreneur

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II B. Maximin

Step 1: For each act, find minimum payoff

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Maximin Step 1

Action Favorable

Demand

Un-

Favorable

Large plant $ 200,000 -180,000=MIN OF ROW

Small plant 100,000 -20,000= MIN OF ROW

No plant 0 0=MIN OF ROW

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Maximin Step 2

Choose act with MAXImum of MINimum values

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Maximin

Act Minimum

Large plant -180,000

Small plant -20,000

No plant 0=MAX

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Maximin Decision

No plant

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What personality type is maximin?

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Maximin

• Pessimistic• Cautious• In 1961 would have advised against Moon

landing project• In 1965 would have advised against US

troops in Viet Nam• In 1996 would have advised against

deregulation of electricity companies

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II C. Minimax

Step 1: Opportunity Loss Table

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OL Table

Action Favorable

Demand

Un-

Favorable

Large plant $ 200,000

-200,000= 0

0-(-180,000)=

180,000

Small plant 200,000

-100,000=

100,000

0-(-20,000)=

20,000

No plant 200,000

-0=200,000

0-0=0

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Minimax Step 2

For each act, find maximum opportunity loss

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OL Table: Step 2

Action Favorable

Demand

Un-

Favorable

Large plant 0 180,000=MAX IN ROW

Small plant 100,000=MAX IN ROW

20,000

No plant 200,000=MAX IN ROW

0

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Minimax Step 3

Find MINImum of MAXimum OL

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MINIMAX Step 3

Act MAX OL

Large 180,000

Small 100,000=MIN

No plant 200,000

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Minimax Decision

Build small plant