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Answer :
a) Hy Cassorla is using a two-month supply as the order quantity (Q) and the reorder point (s) for controlling the inventory of white dress shirts.
Since he wants to maintain at least a two-month supply, the value of Q is equal to the demand for two months, which is 2 * 120 = 240 shirts. The reorder point (s) is set at the level where the inventory drops below a two-month supply, so it would be 2 * 120 = 240 shirts as well.
b) To calculate the fill rate (Type 2 service level) achieved with the current policy, we need to determine the probability of not stocking out during the lead time. The lead time is three weeks, so the probability of not stocking out during this period can be found using the normal distribution with the mean demand of 120 shirts and the standard deviation of 32 shirts. By calculating the cumulative probability, we can find the fill rate.
c) To determine the optimal values of Q and s based on a 99 percent fill rate criterion, we need to consider the desired service level and the associated probability of not stocking out during the lead time. By setting the desired service level to 99 percent, we can calculate the corresponding z-value and then use it to find the appropriate reorder point (s) and order quantity (Q).
d) To find the difference in the average annual holding and setup costs between the policies in parts (b) and (c), we need to calculate the average annual holding cost and setup cost for each policy. The holding cost is based on the average inventory level, which can be calculated using the reorder point and order quantity. The setup cost is incurred each time an order is placed. By comparing the average annual holding and setup costs between the two policies, we can determine the cost difference.
For the second part of your question, it seems to be related to a different scenario involving a periodic-review, base-stock (R,S) policy. Please clarify if you would like me to address that as well.
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