1. What is the optimal number of motors that Phillips's managers should order according to the E0Q model? 2. At what point should managers reorder the motors, assuming that both demand and purchase-order lead time are known with certainty? 3. Now assume that demand can vary during the 2-week purchase-order lead time. The following table shows the probability distribution of various demand levels: Required Total Demand for Motors for 2 Weeks Probability of Demand (sums to 1) 1,600 0.05 1,800 2,000 2,200 0.20 0.50 0.20 0.05 2,400 If Phillips runs out of stock, it would have to rush order the motors at an additional cost of $5 per mo- tor. How much safety stock should the assembly plant hold? How will this affect the reorder point and reorder quantity?

FINANCIAL ACCOUNTING
10th Edition
ISBN:9781259964947
Author:Libby
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Chapter1: Financial Statements And Business Decisions
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EOQ, uncertainty, safety stock, reorder point. Phillips Corporation is a major manufacturer of food processors. It purchases motors from Viking Corporation. Annual demand is 52,000 motors per year or 1,000 motors per week. The ordering cost is $360 per order. The annual carrying cost is $6.50 per motor. It currently takes 2 weeks to supply an order to the assembly
plant.

1. What is the optimal number of motors that Phillips's managers should order according to the E0Q model?
2. At what point should managers reorder the motors, assuming that both demand and purchase-order
lead time are known with certainty?
3. Now assume that demand can vary during the 2-week purchase-order lead time. The following table
shows the probability distribution of various demand levels:
Required
Total Demand for Motors for 2 Weeks Probability of Demand (sums to 1)
1,600
0.05
1,800
2,000
2,200
0.20
0.50
0.20
0.05
2,400
If Phillips runs out of stock, it would have to rush order the motors at an additional cost of $5 per mo-
tor. How much safety stock should the assembly plant hold? How will this affect the reorder point and
reorder quantity?
Transcribed Image Text:1. What is the optimal number of motors that Phillips's managers should order according to the E0Q model? 2. At what point should managers reorder the motors, assuming that both demand and purchase-order lead time are known with certainty? 3. Now assume that demand can vary during the 2-week purchase-order lead time. The following table shows the probability distribution of various demand levels: Required Total Demand for Motors for 2 Weeks Probability of Demand (sums to 1) 1,600 0.05 1,800 2,000 2,200 0.20 0.50 0.20 0.05 2,400 If Phillips runs out of stock, it would have to rush order the motors at an additional cost of $5 per mo- tor. How much safety stock should the assembly plant hold? How will this affect the reorder point and reorder quantity?
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