Computing expected value of market research information


Assignment:

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 thousand of dollars):

State of Nature

Low Demand Medium Demand High Demand
Decision Alternative s1 s2 s3
Manufacture, d1 -20 40 100
Purchase, d2 10 45 70

The state-of -nature probabilities are P(s1) = 0.35, P(s2) = 0.35, and P(s3) = 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 condtional probabilities are as follows:

P(F/s1) = 0.10                  

P(F/s2) = 0.40

P(F/s3) = 0.60

P(U/s1) = 0.90

P(U/s2) = 0.60

P(U/s3) = 0.40

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?

Provide complete and step by step solution for the question and show calculations and use formulas.

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Marketing Management: Computing expected value of market research information
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