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Managing Pricing Decisions

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DECISION MAKING THEORY AND TOOLS

PROBLEM 1:

The following information is for below questions:

*PV for profits ($000)

i. The maximax strategy would be:
Answer: buy with value = RM80,000

ii. The maximin strategy would be:
Answer: lease with value = RM50,000

iii. The minimax regret strategy would be:
Answer: lease

iv. If P(high) is 0.60, the choice for maximum expected value would be:
Answer: rent (EMV => RM70,000 x 0.6 + RM30,000 x 0.4 = RM54,000)

PROBLEM 2

A manager is quite concerned about the recent deterioration of a section of the roof on a building that houses her firm's computer operations. According to her assistant there are three options which merit consideration: A, B, and C. Moreover, there are three possible future conditions that must be included in the analysis: I, which has a probability of occurrence of .5; II, which has a probability of .3; and III, which has a probability of .2. If condition I materializes, A will cost $12,000, B will cost $20,000, and C will cost $16,000. If condition II materializes, the costs will be $15,000 for A, $18,000 for B, and $14,000 for C. If condition III materializes, the costs will be $10,000 for A, $15,000 for B, and $19,000 for C. i. Draw a decision tree for this problem. ii. Using expected monetary value, which alternative should be chosen?

Answer:

LINEAR PROGRAMMING

A firm wants to determine how many units of each of two products (products X and Y) they should produce in order to gain profit. The profit from making a unit of product X is RM100 and the profit from making a unit of product Y is RM80. The firm can sell any amount of either product; it is limited by its total labor hours and total machine hours available. The total labor hours per week are 800 hours. Product X takes 4 hours of labor per unit and Product Y takes 2 hours of labor per unit. The total machine hours

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