Introduction to

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Chapter 5 supplement

Decision Theory

Saba Bahouth – UCO 1

Problem

The Decision-Making Process

Quantitative Analysis

Logic

Historical Data

Marketing Research

Scientific Analysis

Modeling

Qualitative Analysis

Emotions

Intuition

Personal Experience

Personal Motivation

Rumors

Saba Bahouth – UCO

Decision

2

Decision Environments

CERTAINTY :

When all parameters (like cost, distance, capacity, time ...) are known.

UNCERTAINTY :

When it is impossible to assess the probability of possible outcomes.

RISK :

When there exists a certain probability level associated with possible outcomes.

What environment is investing in drilling a new oil well?

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Typical Example

A building contractor has to make a decision regarding the capacity of his operation for next year. He has estimated profits (in $1,000) under each of the states of nature he believes might occur, as shown in the table below:

Alternative

Do nothing

Expand

Subcontract

Next year’s demand

Low High

$50

$20

$40

$60

$80

$70

What decisions will he make under different environments and different decision making approaches?

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Decision Making Under Certainty

Alternative

Do nothing

Expand

Subcontract

Next year’s demand

Low High

$50

$20

$40

$60

$80

$70

In this case, we assume that we know, with certainty, the outcome for next year (high or low demand).

Therefore, the manager should do nothing if he/she believes that next year's demand will be low, and the manager should expand if he/she believes that next year's demand will be high.

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Decisions Under Uncertainty (1/2)

1. MAXIMIN : Determine the worst payoff for each alternative, and then select the best among these worst alternatives. (pessimistic, guaranteed minimum)

Alternative

Do nothing

Expand

Subcontract

Therefore select to do nothing.

Next year demand

Low High

$50

$20

$40

$60

$80

$70

Worst

50

20

40

2. MAXIMAX : Determine the best payoff for each alternative, and then select the best among these best alternatives. (optimistic, greedy)

Alternative

Do nothing

Expand

Subcontract

Therefore select to expand .

Next year demand

Low

$50

High

$60

$20

$40

$80

$70

Best

60

80

70

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Decisions Under Uncertainty (2/2)

3. Equally Likely (LaPlace): Determine the average payoff for each alternative, and choose the alternative with the best average.

Next year demand

Alternative

Do nothing

Expand

Low

$50

$20

High

$60

$80

Average

(50+60)/2 = 55

(20+80)/2 = 50

Subcontract $40 $70 (40+70)/2 = 55

Therefore select either to do nothing or to subcontract the work.

4. Minimax Regret:

Alternative

Do nothing

Expand

Subcontract

Next year demand

Low

$50

$20

$40

High

$60

$80

$70

Therefore select to subcontract the work.

Regrets

Low High

$00 $20

$30 $00

$10 $10

Max.

$20

$30

$10 (min.)

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Decision Theory Elements

• A set of possible future conditions exists that will have a bearing on the results of the decision

• A list of alternatives for the decision maker to choose from

• A known payoff for each alternative under each possible future condition

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Decision Making Under Risk (1/2)

1. EXPECTED MONETARY VALUE (EMV): Determine the expected payoff of each alternative, and then select the best alternative.

Assume P(low)=.3 and P(high)=.7, the expected monetary value for each alternative is:

Alternative

Next year demand

Low

Probability : .3

High

.7

Do nothing

Expand

Subcontract

Therefore select to expand.

$50

$20

$40

$60

$80

$70

E M V

.3x50 + .7x60 = 57

.3x20 + .7x80 = 62

.3x40 + .7x70 = 61

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Expand

Decision Making Under Risk (2/2)

DECISION TREES:

Low .3

$50

Low .3

$50

High .7

$60

Low .3

$20

$57

High

.7

$60

Low .3

$20

Expand

$62

High .7

$80

High .7

$80

$61

Low .3

$40

High .7

$70

- Branches leaving square nodes represent alternatives.

- Branches leaving circular nodes represent outcomes.

Saba Bahouth – UCO

Low .3

$40

High .7

$70

10

Expected Value of Perfect Information (EVPI)

Expected value of perfect information: the difference between the expected payoff under certainty and the expected payoff under risk

EVPI = Expected payoff under certainty (EPUC) Expected payoff under risk (EPUR)

Alternative

Probability:

Do nothing

Expand

Subcontract

Next year demand

Low High

.3

.7

$50

$20

$40

$60

$80

$70

E M V (or EPUR)

.3x50 + .7x60 = 57

.3x20 + .7x80 = 62

.3x40 + .7x70 = 61

EVPI = Expected payoff under certainty (EPUC) Expected payoff under risk (EPUR)

EVPI = (.3 x 50) + (.7 x 80) 62

EVPI = 9

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Sensitivity Analysis

Probabilities associated with each outcome are estimates. What happens if they were different?

50

40

Do N.

Sub.

Exp.

20

80

70

60

Equations:

Do nothing:

Expand:

Subcontract:

50 + 10P

20 + 60P

40 + 30P

After solving pairs of equations with two unknown:

Do nothing for:

Subcontract for:

Expand for:

0.00 < P < 0.50

0.50 < P < 0.67

0.67 < P < 1.00

0 .50

.67

Probability of high demand

1.0

Saba Bahouth – UCO 13

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