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Decision Analysis

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Title: Decision Analysis


1
Decision Analysis
  • Decision Making Under Uncertainty
  • Techniques play an important role in business,
    government, everyday life, college football
    rankings
  • How can a manager provide a rational methodology
    for decision making and analysis in the face of
    uncertainty?
  • How does a manager chose among alternatives in an
    optimal fashion when those alternatives may be
    numerous and conflicting?

2
Components of Decision Making
  • State
  • An actual event that may occur in the future
  • Decision
  • Options from which a decision maker can chose
  • Outcomes
  • The result of a combination of states and
    decisions

3
Payoff Table
  • A means to organize states, decisions, and
    outcomes e.g.,
  • States
  • Decisions a b
  • 1 payoff 1a payoff 1b
  • 2 payoff 2a payoff 2b

4
Payoff Table Example
  • An investor must decide among an apartment
    building, an office building, and a warehouse.
  • States
  • Decisions Good Bad
  • Apartment 50,000 30,000
  • Office 100,000 -40,000
  • Warehouse 30,000 10,000

5
Decision Criteria
  • Maximax
  • Maximin
  • Minimax Regret
  • Hurwicz
  • Equal Likelihood

6
Maximax
  • Decision maker selects the decision that will
    result in the maximum of the maximum payoffs
  • Decisions Good
  • Apartment 50,000
  • Office 100,000
  • Warehouse 30,000
  • Decision would be to purchase the office
  • Decision completely ignores down side, loss of
    40,000
  • Assumes a very optimistic future

7
Maximin
  • Decision maker selects the decision that will
    result in the maximum of the minimum payoffs
  • Decisions Bad
  • Apartment 30,000
  • Office -40,000
  • Warehouse 10,000
  • Decision would be to purchase the apartment
  • Decision is relatively conservative
  • Assumes a very pessimistic future

8
Minimax Regret
  • Decision maker attempts to avoid regret by
    selecting the decision alternative that minimizes
    the maximum regret
  • Select the maximum payoff under each state
  • Good ----gt 100,000
  • Bad ------gt 30,000
  • Regret is then calculated as follows
  • Good ----gt 100,000 - payoff for each decision
  • Bad ------gt 30,000 - payoff for each decision

9
Minimax Regret
  • The calculations for the example
  • States
  • Decisions Good Bad
  • Apartment 100,000 - 50,000 50,000
    30,000 - 30,000 0
  • Office 100,000 - 100,000 0 30,000
    - (-40,000) 70,000
  • Warehouse 100,000 - 30,000 70,000
    30,000 - 10,000 20,000
  • Chose the decision which minimizes this regret
  • Purchase the apartment building
  • Decision maker experiences the least amount of
    regret

10
Hurwicz Criterion
  • A compromise between the maximax and maximin
    criterions
  • Payoffs are weighted using a coefficient of
    optimism, ?
  • A measure of the decision makers optimism
    regarding the outcome of the events
  • 0 lt ? lt 1

11
Hurwicz Criterion
  • The ? is multiplied by the best payoff and (1-?)
    is multiplied by the worst payoff and these
    values are added together
  • This criterion is a simple weighting scheme
  • However, ? must be determined by the decision
    maker and is completely subjective
  • The Hurwicz Criterion is completely subjective

12
Hurwicz Criterion
  • Given ? 0.4, then 1-? 0.6,
  • Decisions Values
  • Apartment 50,000(0.4) 30,000(0.6)
    38,000
  • Office 100,000 (0.4) - 40,000(0.6) 16,000
  • Warehouse 30,000 (0.4) 10,000(0.6)
    18,000
  • Hurwicz criterion specifies selection
    corresponding to the maximum weighted average
  • Apartment building

13
Equal Likelihood or LaPlace
  • Hurwicz Criterion when ? 0.5
  • Decisions Values
  • Apartment 50,000(0.5) 30,000(0.5)
    40,000
  • Office 100,000 (0.5) - 40,000(0.5) 30,000
  • Warehouse 30,000 (0.5) 10,000(0.5)
    20,000
  • Equal likelihood criterion specifies selection
    corresponding to the maximum weighted average
  • Apartment building

14
Limitations of Weighting Methods
  • Regardless of how a is determined it is a
    subjective measure, even with equal likelihood
  • The degree of the decision makers optimism is
    reflected in ?
  • Untrained decision makers generally choose ?
    incorrectly
  • How would you choose ??

15
Summary of Techniques
  • Criterion Decision
  • Maximax Office Building
  • Maximin Apartment
  • Minimax regret Apartment
  • Hurwicz Apartment
  • Equal Likelihood Apartment
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