Production and Operations Analysis, Seventh Edition
Production and Operations Analysis, Seventh Edition
7th Edition
ISBN: 9781478623069
Author: Steven Nahmias, Tava Lennon Olsen
Publisher: Waveland Press, Inc.
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Chapter 5, Problem 50AP
Summary Introduction

Interpretation:Difference in (Q,R) values compared to normal case are to be discussed.

Concept Introduction: Laplace distribution is a continuous probability distribution in which two independent exponential functions are evaluated. These exponential functions are independent of each other with different parameters

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Ray wishes to determine the optimal order quantity for its best-selling bike in his bike store. Ray pays the supplier a wholesale price of $118 each for this bike. Ray has estimated the average daily demand for this bike is 23 units. The store opens 304 days a year. The cost to carry one bike in the store for a whole year is 8% of the unit bike cost. Ray has estimated that, on average, the order processing cost, i.e., ordering cost, with the bike supplier each time is $152, and it roughly takes 20 working days to receive the order from the supplier. Ray wishes to avoid the stock-out situation with a probability of 95%, and this requires Ray to carry a safety stock of 30 bikes in the store.   What is the optimal order quantity (EOQ value) that Ray should order each time from the bike supplier to minimize his long-run inventory cost?
A retailer uses the order-up-to model to manage inventory of an item in a store. The leadtime for replenishments is four weeks and it can place orders weekly. Weekly demand isPoisson with mean 0.10 unit. Its order-up-to level is five and unfilled demand is backordered. What is the coefficient of variation of its orders?
Show that the optimal run size always exceeds the EOQ.Give an intuitive explanation for this result.
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