Question: In this problem, the model is already built. Don't change the formulas in the gray section. The model below describes an inventory decision. There are

In this problem, the model is already built. Don't change the formulas in the gray section. The model below describes an inventory decision. There are 10 potential customers, each has the same probability of buying the product. The product is perishable, so if the owner orders more than are sold, she loses $180 per unsold item. If she orders too few, then she has an opportunity loss, of $100 per unit that she could have made if she ordered more. There are 11 possible demands that could occur, 0 through 10 units demanded. The model computes the probability of each of those states from the individual prob. of buying (in C13) using a binomial distribution. The cost column computes the cost for that demand, given the amount ordered. Total cost is sum of probability times cost. Input parameters Demand Probability Cost Cost of having extra $18000.000900.0 Cost of running out $10010.000720.020.000540.0 Amount ordered 530.000360.040.000180.050.0000.0 Individual probability of buying 160.000100.070.000200.080.000300.090.000400.0101.000500.0 Total Cost 500.0
Using references to cells in the model, make a two way data table with individual probability of buying going from 0 to 1 by .1 on the row and amount ordered going from 1 to 10 on the column. The table will be showing total cost. Looking at the table, answer the following questions. a. If the individual probability of buying is 0.3, what is the best quantity to order? 5 b. If the individual probability of buying is 0.7, what is the best quantity to order? 9 c. Suppose the company found a way to sell unused product for a discount price so that the cost of having extra dropped from 180 to 50. Now what is the best quantity to order for 0.3 prob of buying? d. For 0.7 probability of buying?
 In this problem, the model is already built. Don't change the

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