A dress buyer for a large department store must place orders with the dress manufacturer 9 months before the dresses are needed. One decision is the number of knee-length dresses to stock. The ultimate gain to the department store depends both on the decision and on the fashion prevailing 9 months later. The buyer's estimates of the gains (in thousands of pesos) are given below: Decision Order none Order a little Order moderately Order a lot S1 - knee lengths are high fashion -50 -10 60 80 States of Nature S2 - knee lengths are acceptable 0 30 45 40 S3 - knee lengths are not acceptable 80 35 -30 -45 a) Determine the decision if the buyer uses the minimax regret criterion. b) Based on the buyer's experience, the probability that S1 occurs is 45% and S3 is 25%. Using the expected values method, what will be the buyer's decision? c) Determine the EOL.

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.3: Simple Regression Models
Problem 9P
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A dress buyer for a large department store must place orders with the dress manufacturer 9 months before the
dresses are needed. One decision is the number of knee-length dresses to stock. The ultimate gain to the department
store depends both on the decision and on the fashion prevailing 9 months later. The buyer's estimates of the gains
(in thousands of pesos) are given below:
Decision
Order none
Order a little
Order moderately
Order a lot
S1 knee lengths are high
fashion
-50
-10
60
80
States of Nature
S2 - knee lengths are
acceptable
0
30
45
40
S3 - knee lengths are not
acceptable
80
35
-30
-45
a) Determine the decision if the buyer uses the minimax regret criterion.
b) Based on the buyer's experience, the probability that S1 occurs is 45% and S3 is 25%. Using the expected values
method, what will be the buyer's decision?
c) Determine the EOL.
d) Determine the posterior probabilities of having a high demand for fashion.
e) Determine the posterior probabilities of having a low demand for fashion.
f) Show the decision tree to determine the optimal policy of the decision.
g) If you are the owner of this business, how much will you pay the research agency?
Using the prior probabilities of the buyer in (b), the buyer decided to look for a research agency that will provide him
a report whether there will be a high or low demand for fashion. Based on the research agency's experience, given S1,
the probability of high demand is 0.70, probability of low demand given S2 is 0.40, and probability of low demand
given S3 is 0.80.
Transcribed Image Text:A dress buyer for a large department store must place orders with the dress manufacturer 9 months before the dresses are needed. One decision is the number of knee-length dresses to stock. The ultimate gain to the department store depends both on the decision and on the fashion prevailing 9 months later. The buyer's estimates of the gains (in thousands of pesos) are given below: Decision Order none Order a little Order moderately Order a lot S1 knee lengths are high fashion -50 -10 60 80 States of Nature S2 - knee lengths are acceptable 0 30 45 40 S3 - knee lengths are not acceptable 80 35 -30 -45 a) Determine the decision if the buyer uses the minimax regret criterion. b) Based on the buyer's experience, the probability that S1 occurs is 45% and S3 is 25%. Using the expected values method, what will be the buyer's decision? c) Determine the EOL. d) Determine the posterior probabilities of having a high demand for fashion. e) Determine the posterior probabilities of having a low demand for fashion. f) Show the decision tree to determine the optimal policy of the decision. g) If you are the owner of this business, how much will you pay the research agency? Using the prior probabilities of the buyer in (b), the buyer decided to look for a research agency that will provide him a report whether there will be a high or low demand for fashion. Based on the research agency's experience, given S1, the probability of high demand is 0.70, probability of low demand given S2 is 0.40, and probability of low demand given S3 is 0.80.
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