Exam 13: Decision Analysis
Exam 1: Introduction63 Questions
Exam 2: An Introduction to Linear Programming66 Questions
Exam 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution56 Questions
Exam 4: Linear Programming Applications in Marketing, Finance, and Operations Management63 Questions
Exam 5: Advanced Linear Programming Applications46 Questions
Exam 6: Distribution and Network Models70 Questions
Exam 7: Integer Linear Programming61 Questions
Exam 8: Nonlinear Optimization Models51 Questions
Exam 9: Project Scheduling: Pertcpm59 Questions
Exam 10: Inventory Models65 Questions
Exam 11: Waiting Line Models68 Questions
Exam 12: Simulation62 Questions
Exam 13: Decision Analysis97 Questions
Exam 14: Multicriteria Decisions50 Questions
Exam 15: Time Series Analysis and Forecasting63 Questions
Exam 16: Markov Processes49 Questions
Exam 17: Linear Programming: Simplex Method51 Questions
Exam 18: Simplex-Based Sensitivity Analysis and Duality35 Questions
Exam 19: Solution Procedures for Transportation and Assignment Problems44 Questions
Exam 20: Minimal Spanning Tree19 Questions
Exam 21: Dynamic Programming38 Questions
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Expected value is the sum of the weighted payoff possibilities at a circular node in a decision tree.
(True/False)
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When consequences are measured on a scale that reflects a decision maker's attitude toward profit, loss, and risk, payoffs are replaced by
(Multiple Choice)
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Dollar Department Stores has just acquired the chain of Wenthrope and Sons Custom Jewelers. Dollar has received an offer from Harris Diamonds to purchase the Wenthrope store on Grove Street for $120,000. Dollar has determined probability estimates of the store's future profitability, based on economic outcomes, as: P($80,000) = .2, P($100,000) = .3, P($120,000) = .1, and P($140,000) = .4.
a.Should Dollar sell the store on Grove Street?
b.What is the EVPI?
c.Dollar can have an economic forecast performed, costing $10,000, that produces indicators I1 and I2, for which P(I1 | 80,000) = .1; P(I1 | 100,000) = .2; P(I1 | 120,000) = .6; P(I1 | 140,000) = .3. Should Dollar purchase the forecast?
(Essay)
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A chemical company is trying to decide whether to build a pilot plant now for a new chemical process or to build the full plant now. If they build a pilot plant now, they could expand it later to a full plant or license the plant to another company. It would cost them $2 million to build the pilot plant and another $2 million later to expand it. If they build the full plant now it would cost $3.5 million to construct.
The returns they expect to get from the full production plant depend upon the market. They estimate there is a 60% chance the market will be robust, a 30% chance it will remain stable, and a 10% chance it will become stagnate. The returns are estimated to be $5 million if it is robust, $3 million if it is stable, and $1 million if it is stagnate.
Before they expand the pilot plant, they plan to conduct a comprehensive study. Based on past experience, they expect the study to report a 60% chance of favorable outcome for expansion and a 40% unfavorable chance. In either case they will have to decide whether to expand to a full plant or license the pilot plant. If the report is favorable and they license it, they expect to get $3 million. However, if the report is unfavorable and they license it, they will only get $1 million.
Develop a decision tree for this problem and determine the optimal decision strategy.
(Essay)
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Sample information with an efficiency rating of 100% is perfect information.
(True/False)
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A decision maker has developed the following decision tree. How sensitive is the choice between N and P to the probabilities of states of nature U and V? 

(Short Answer)
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The probability for which a decision maker cannot choose between a certain amount and a lottery based on that probability is
(Multiple Choice)
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The expected utility is the utility of the expected monetary value.
(True/False)
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Use a diagram to compare EVwPI, EVwoPI, EVPI, EVwSI, EVwoSI, and EVSI.
(Essay)
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Which of the following approaches to decision making requires knowledge of the probabilities of the states of nature?
(Multiple Choice)
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The expected value of sample information can never be less than the expected value of perfect information.
(True/False)
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The minimum expected opportunity loss provides the best decision, regardless of whether the decision analysis involves minimization or maximization.
(True/False)
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