Chapter 3: Decision Analysis Flashcards

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1
Q

a tool comprising of different methodologies necessary to address decision in quantitative manner

A

Decision Analysis

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2
Q

a systematic, quantitative and interactive approach to addressing and evaluating important choices

A

Decision Analysis

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3
Q

used to develop an optimal strategy when a decision maker is faced with several decision alternatives

A

Decision Analysis

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4
Q

from optimization and optimal solution where decision analysis starts from formulating problem

A

Optimal Strategy

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5
Q

It is the first step in the decision analysis process

A

Problem Formulation

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6
Q

Parts of Problem Formulation

A

-Decision Alternatives
-State of Nature (Chance Events)
-Resulting Payoffs

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7
Q

are the different possible strategies the decision maker can employ

A

Decision Alternatives

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8
Q

uncertain future events or weak demand, moderate demand, strong demand

A

State of Nature (Chance of Events)

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9
Q

consequences resulting from decision alternatives and chance events

A

Resulting Payoffs

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10
Q

Management scientist and professor from Stanford University that defined the decision analysis discipline in 1964 and has played a major role in the research, education, and application of many aspects of the field.

A

Ronald Howard

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11
Q

Approaches in Decision Making without Probabilities (Decision Making under Uncertainty)

A

-Optimistic Approach
-Conservative Approach
-Laplace
-Minimax Regret Approach

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12
Q

Approaches in Decision Making with Probabilities (highest expected value (EV) or decision with best expected return)

A

Decision Tree

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13
Q

a chronological representation of the decision problem

A

Decision Tree

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14
Q

largest possible payoff/ largest in strong demand (favorable market)

A

Optimistic Approach

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15
Q

Maximax/ Maximum of all maximum

A

Optimistic Approach

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16
Q

maximum of the minimum payoff is selected/ largest in weak demand (unfavorable market)

A

Conservative Approach

17
Q

Maximin/ Maximum of all minimum

A

Conservative Approach

18
Q

best weighted payoff/ highest average payoff for each alternative

A

Laplace

19
Q

Equally Likely

A

Laplace

20
Q

minimum of the maximum regret

A

Minimax Regret Approach

21
Q

difference between large and small payoffs from each payoff

A

Minimax Regret Approach

22
Q

Minimax/ Minimum of all maximum

A

Minimax Regret Approach