15. 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 coun- cil 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 0.10, 0.60, and 0.30 for the worst-case, base-case, and best-case scenarios, respectively.

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15. 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 coun-
cil 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 0.10, 0.60, and 0.30 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 thou-
sands of dollars) for a 5-year planning horizon have been developed. All costs, including the
consultant's fee, have been included.
Demand Scenario
Worst
Base
Best
Center Size
Case
Case
Case
Small
400
500
660
Medium
-250
650
800
Large
-400
580
990
a.
b.
What decision should Lake Placid make using the expected value approach?
Construct risk profiles for the medium and large alternatives. Given the mayor's con-
cern over the possibility of losing money and the result of part (a), which alternative
would you recommend?
Transcribed Image Text:15. 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 coun- cil 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 0.10, 0.60, and 0.30 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 thou- sands of dollars) for a 5-year planning horizon have been developed. All costs, including the consultant's fee, have been included. Demand Scenario Worst Base Best Center Size Case Case Case Small 400 500 660 Medium -250 650 800 Large -400 580 990 a. b. What decision should Lake Placid make using the expected value approach? Construct risk profiles for the medium and large alternatives. Given the mayor's con- cern 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 0.2, the probability
of the base-case scenario decreases to 0.5, and the probability of the best-case sce-
nario remains at 0.3. What effect, if any, would these changes have on the decision
recommendation?
e. The consultant has suggested that an expenditure of $150,000 on a promotional cam-
paign 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?
Transcribed Image Text: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 0.2, the probability of the base-case scenario decreases to 0.5, and the probability of the best-case sce- nario remains at 0.3. What effect, if any, would these changes have on the decision recommendation? e. The consultant has suggested that an expenditure of $150,000 on a promotional cam- paign 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?
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