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quantitative decisions in business This assignment must be in Excel/QM and submi

ID: 411572 • Letter: Q

Question

quantitative decisions in business

This assignment must be in Excel/QM and submitted through Assignment. Also provide a written response for each part of each question.

3.3) Orders for clothing from a particular manufacturer for this year's Christmas shopping season must be placed in February. The cost per unit for a particular dress is $20 while the anticipated selling price is $50. Demand is projected to be 50, 60, or 70 units. There is a 40 percent chance that demand will be 50 units, a 50 percent chance that demand will be 60 units, and a 10 percent chance that demand will be 70 units. The company believes that any leftover goods will have to be scrapped. How many units should be ordered in February?

Explanation / Answer

Given are the following data :

Cost per dress = C = $20

Price per dress = P = $50

Salvage value = S = 0 ( since leftover goods need to be scrapped )

Thus,

Underage cost = Cu = P – C = $50 - $20 = $30

Overage cost = Co = C – S = $20 – 0 = $20

Thus , Critical Ratio = Cu/ ( Cu + Co ) = 30 / ( 30 + 20 ) = 30/50 = 0.60

Critical ratio corresponds to the probability of demand for optimum quantity which should be ordered.

Therefore , probability that demand will be at least the optimum quantity will be 0.60

Following table presents probability values corresponding to cases that demand will be minimum of the respective values :

Demand will be at least below quantity

Corresponding probability

40

1

60

0.60

70

0.10

Note:

Corresponding probability is calculated as : 1 -   Cumulative percentages of all preceeding quantities/ 100

Therefore optimum quantity which should be ordered in February = 60 units

60 UNITS SHOULD BE ORDERED IN FEBRUARY

Given are the following data :

Cost per dress = C = $20

Price per dress = P = $50

Salvage value = S = 0 ( since leftover goods need to be scrapped )

Thus,

Underage cost = Cu = P – C = $50 - $20 = $30

Overage cost = Co = C – S = $20 – 0 = $20

Thus , Critical Ratio = Cu/ ( Cu + Co ) = 30 / ( 30 + 20 ) = 30/50 = 0.60

Critical ratio corresponds to the probability of demand for optimum quantity which should be ordered.

Therefore , probability that demand will be at least the optimum quantity will be 0.60

Following table presents probability values corresponding to cases that demand will be minimum of the respective values :

Demand will be at least below quantity

Corresponding probability

40

1

60

0.60

70

0.10

Note:

Corresponding probability is calculated as : 1 -   Cumulative percentages of all preceeding quantities/ 100

Therefore optimum quantity which should be ordered in February = 60 units

60 UNITS SHOULD BE ORDERED IN FEBRUARY