
An Introduction to Management Science 13th Edition by David Anderson,Dennis Sweeney ,Thomas Williams ,Jeffrey Camm, Kipp Martin
النسخة 13الرقم المعياري الدولي: 978-1439043271
An Introduction to Management Science 13th Edition by David Anderson,Dennis Sweeney ,Thomas Williams ,Jeffrey Camm, Kipp Martin
النسخة 13الرقم المعياري الدولي: 978-1439043271 تمرين 4
The Gorman Manufacturing Company must decide whether to manufacture a component part at its Milan, Michigan, plant or purchase the component part from a supplier. The resulting profit is dependent upon the demand for the product. The following payoff table shows the projected profit (in thousands of dollars):
The state-of-nature probabilities are P ( s 1 ) = 0.35, P ( s 2 ) = 0.35, and P ( s 3 ) = 0.30.
a. Use a decision tree to recommend a decision.
b. Use EVPI to determine whether Gorman should attempt to obtain a better estimate of demand.
c. A test market study of the potential demand for the product is expected to report either a favorable ( F ) or unfavorable ( U ) condition. The relevant conditional probabilities are as follows:
What is the probability that the market research report will be favorable?
d. What is Gorman's optimal decision strategy?
e. What is the expected value of the market research information?
f. What is the efficiency of the information?

The state-of-nature probabilities are P ( s 1 ) = 0.35, P ( s 2 ) = 0.35, and P ( s 3 ) = 0.30.
a. Use a decision tree to recommend a decision.
b. Use EVPI to determine whether Gorman should attempt to obtain a better estimate of demand.
c. A test market study of the potential demand for the product is expected to report either a favorable ( F ) or unfavorable ( U ) condition. The relevant conditional probabilities are as follows:

What is the probability that the market research report will be favorable?
d. What is Gorman's optimal decision strategy?
e. What is the expected value of the market research information?
f. What is the efficiency of the information?
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An Introduction to Management Science 13th Edition by David Anderson,Dennis Sweeney ,Thomas Williams ,Jeffrey Camm, Kipp Martin
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