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The lake placid town council has decided

26/11/2021 Client: muhammad11 Deadline: 2 Day

Homework 3: Chapter 4 Decision Analysis (Due September 23, 2016)

1. The Lake Placid Town Council decided to build a new community center to be used for conventions,

concerts, and other public events, but considerable controversy surrounds the appropriate size. Many

influential citizens want a large center that would be a showcase for the area. But the mayor feels that if

demand does not support such a center, the community will lose a large amount of money. To provide

structure for the decision process, the council narrowed the building alternatives to three sizes: small,

medium, and large. Everybody agreed that the critical factor in choosing the best size is the number of

people who will want to use the new facility. A regional planning consultant provided demand estimates

under three scenarios: worst case, base case, and best case. The worst-case scenario corresponds to a

situation in which tourism drops substantially; the base-case scenario corresponds to a situation in which

Lake Placid continues to attract visitors at current levels; and the best-case scenario corresponds to a

substantial increase in tourism. The consultant has provided probability assessments of 0.20, 0.55, and

0.25 for the worst-case, base-case, and best-case scenarios, respectively.

The town council suggested using net cash flow over a 5-year planning horizon as the criterion for

deciding on the best size. The following projections of net cash flow (in thousands of dollars) for a 5-

year planning horizon have been developed. All costs, including the consultant's fee, have been included.

[5 points]

Demand Scenario

Center Size Worst Case Base Case Best Case

Small 400 550 700

Medium −200 600 800

Large −400 650 1000

a. If nothing is known about the probabilities of the three scenarios, what is the recommended decision

using the optimistic, conservative, and minimax regret approaches? Considering probability assessments

provided by the consultant, what decision should Lake Placid make using the expected value approach?

b. Construct risk profiles for the medium and large alternatives. Given the mayor's concern over the

possibility of losing money and the result of part (a), which alternative would you recommend?

c. Compute the expected value of perfect information. Do you think it would be worth trying to obtain

additional information concerning which scenario is likely to occur?

d. Suppose the probability of the worst-case scenario increases to 0.3, the probability of the base-case

scenario decreases to 0.45, and the probability of the best-case scenario remains at 0.25. What effect, if

any, would these changes have on the decision recommendation?

e. The consultant has suggested that an expenditure of $120,000 on a promotional campaign over the

planning horizon will effectively reduce the probability of the worst-case scenario to zero. If the

campaign can be expected to also increase the probability of the best-case scenario to 0.4, is it a good

investment?

2. 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) [5 points]

State of Nature

Low Demand Medium Demand High Demand

Decision Alternative s1 s2 s3

Manufacture, d1 −30 35 100

Purchase, d2 10 40 70

The state-of-nature probabilities are P(s1) = 0.30, P(s2) = 0.40, 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 conditional probabilities are as follows:

P(F | s1) = 0.15 P(U | s1) = 0.85

P(F | s2) = 0.35 P(U | s2) = 0.65

P(F | s3) = 0.70 P(U | s3) = 0.30

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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