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# Case Study – Kyle Bits and Bytes Kyle Bits and Bytes, a retailer of computing products...

Case Study – Kyle Bits and Bytes

Kyle Bits and Bytes, a retailer of computing products sells a variety of computer-related products. One of Kyle’s most popular products is an HP laser printer. The average weekly demand is 200 units. Lead time (lead time is defined as the amount of time between when the order is placed and when it is delivered) for a new order from the manufacturer to arrive is one week.

If the demand for printers were constant, the retailer would re-order when there were exactly 200 printers in inventory. However, Kyle learned demand is a random variable in his Operations Management class. An analysis of previous weeks reveals the weekly demand standard deviation is 30. Kyle knows if a customer wants to buy an HP laser printer but he has none available, he will lose that sale, plus possibly additional sales. He wants the probability of running short (stock-out) in any week to be no more than 6%.

 Medium-Scale Large-Scale Expansion Profits Expansion Profits Annual Profit (\$1000s) P(x) Annual Profit (\$1000s) P(x) Demand Low 50 20% 0 20% Medium 150 50% 100 50% High 200 30% 300 30% Expected Profit (\$1000s) Risk Analysis for Medium-Scale Expansion Demand Annual Profit (x) \$1000s Probability P(x) (x - µ) (x - µ)2 (x - µ)2 * P(x) Low 50 20% Medium 150 50% High 200 30% σ2 = σ = Risk Analysis for Large-Scale Expansion Demand Annual Profit (x) \$1000s Probability P(x) (x - µ) (x - µ)2 (x - µ)2 * P(x) Low 0 20% Medium 100 50% High 300 30% σ2 = σ =

What should be the reorder point? How many HP laser printers should he have in stock when he re-orders from the manufacturer?

My ROP was 218 units and my Professor said it is too low. You must do the work again. Please help me with this problem.

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