decision making under risk.ppt

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    Decision Making Under Risk

    Lesson 2.2

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    25 September 2010 Operations Research - Asia Pacific College 2

    Decision Making Under Risk

    Decision making when there are several possiblestates of nature and we know the probabilitiesassociated with each possible state

    Most popular method is to choose the alternative with

    the highest expected monetary value (EMV)

    EMV (alternative i) = (payoff of first state of nature)x (probability of first state of nature)+ (payoff of second state of nature)

    x (probability of second state of nature)+ + (payoff of last state of nature)x (probability of last state of nature)

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    25 September 2010 Operations Research - Asia Pacific College 3

    ExampleThompson Lumber Company

    STATE OF NATURE

    ALTERNATIVEFAVORABLEMARKET ($)

    UNFAVORABLEMARKET ($)

    Construct a large plant 200,000 180,000

    Construct a small plant 100,000 20,000

    Do nothing 0 0

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    25 September 2010 Operations Research - Asia Pacific College 4

    Expected Monetary Value (EMV)

    Assume each market has a probability of 0.50

    Which alternative would give the highest EMV?

    The calculations are

    EMV (large plant) = (0.50)($200,000) + (0.50)($180,000)

    = $10,000

    EMV (small plant) = (0.50)($100,000) + (0.50)($20,000)

    = $40,000

    EMV (do nothing) = (0.50)($0) + (0.50)($0)

    = $0

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    25 September 2010 Operations Research - Asia Pacific College 5

    Expected Monetary Value (EMV)

    STATE OF NATURE

    ALTERNATIVEFAVORABLEMARKET ($)

    UNFAVORABLEMARKET ($) EMV ($)

    Construct a large plant 200,000 180,000 10,000

    Construct a small plant 100,000 20,000 40,000

    Do nothing 0 0 0

    Probabilities 0.50 0.50

    Largest EMV

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    25 September 2010 Operations Research - Asia Pacific College 6

    Expected Opportunity Loss (EOL)

    Expected opportunity loss (EOL) is the cost ofnot picking the best solution

    First construct an opportunity loss table

    For each alternative, multiply the opportunityloss by the probability of that loss for eachpossible outcome and add these together

    Minimum EOL will always result in the samedecision as maximum EMV

    Minimum EOL will always equal EVPI

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    25 September 2010 Operations Research - Asia Pacific College 7

    Expected Opportunity Loss (EOL)

    EOL (large plant) = (0.50)($0) + (0.50)($180,000)

    = $90,000EOL (small plant) = (0.50)($100,000) + (0.50)($20,000)

    = $60,000

    EOL (do nothing) = (0.50)($200,000) + (0.50)($0)

    = $100,000

    STATE OF NATURE

    ALTERNATIVEFAVORABLEMARKET ($)

    UNFAVORABLEMARKET ($) EOL

    Construct a large plant 0 180,000 90,000

    Construct a small plant 100,000 20,000 60,000

    Do nothing 200,000 0 100,000

    Probabilities 0.50 0.50

    Minimum EOL

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    25 September 2010 Operations Research - Asia Pacific College 8

    Sensitivity Analysis

    Sensitivity analysis examines how ourdecision might change with different inputdata

    For the Thompson Lumber example

    P= probability of a favorable market

    (1P) = probability of an unfavorable

    market

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    25 September 2010 Operations Research - Asia Pacific College 9

    Sensitivity Analysis

    EMV(Large Plant) = $200,000P $180,000)(1 P)

    = $200,000P $180,000 + $180,000P

    = $380,000P $180,000

    EMV(Small Plant) = $100,000P $20,000)(1

    P)= $100,000P $20,000 + $20,000P

    = $120,000P $20,000

    EMV(Do Nothing) = $0P+ 0(1 P)

    = $0

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    25 September 2010 Operations Research - Asia Pacific College 10

    Sensitivity Analysis

    $300,000

    $200,000

    $100,000

    0

    $100,000

    $200,000

    EMV Values

    EMV(large plant)

    EMV (small plant)

    EMV (do nothing)

    Point 1

    Point 2

    .167 .615 1

    Values ofP

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    25 September 2010 Operations Research - Asia Pacific College 11

    Sensitivity Analysis

    Point 1:

    EMV(do nothing) = EMV(small plant)

    000200001200,$,$

    P 1670000120

    00020

    .,

    ,P

    00018000038000020000120 ,$,$,$,$ PP

    6150000260

    000160.

    ,

    ,P

    Point 2:

    EMV(small plant) = EMV(large plant)

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    25 September 2010 Operations Research - Asia Pacific College 12

    Sensitivity Analysis

    $300,000

    $200,000

    $100,000

    0

    $100,000

    $200,000

    EMV Values

    EMV (large plant)

    EMV (small plant)

    EMV (do nothing)

    Point 1

    Point 2

    .167 .615 1

    Values ofP

    BESTALTERNATIVE

    RANGE OFPVALUES

    Do nothing Less than 0.167

    Construct a small plant 0.167 0.615

    Construct a large plant Greater than 0.615

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    25 September 2010 Operations Research - Asia Pacific College 13

    Example 2.2Nestle II

    Mary, the Marketing Analyst of Nestle in Example2.1, was able to determine further the probability ofoccurrence of each type of market. The probabilityof occurrence is 50% that the market is favorable,20% that the market is average, and 30% that themarket is unfavorable. The figures are summarizedin the following table.

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    25 September 2010 Operations Research - Asia Pacific College 14

    Example 2.2Nestle II

    Expansion Plan Payoff

    ($000)

    Type of Market

    Favorable Average Unfavorable

    Construct a Plant 8 -1 -5

    Open a Distribution Center 4 2 -3

    Do Nothing 0 0 0

    Probability 0.50 0.20 0.30

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    25 September 2010 Operations Research - Asia Pacific College 15

    Example 2.2Nestle II

    What will be Marys decision? How much gain

    or loss will she expect for the company?

    What will be her decision to minimize

    opportunity losses?