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Inventory policies for a make‐to‐order system with a perishable component and fixed ordering cost
Authors:Katia C Frank  Hyun‐Soo Ahn  Rachel Q Zhang
Institution:1. Macy's Systems and Technology, Johns Creek, Georgia 30097;2. Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109;3. Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
Abstract:We consider a make‐to‐order production system where two major components, one nonperishable (referred to as part 1) and one perishable (part 2), are needed to fulfill a customer order. In each period, replenishment decisions for both parts need to be made jointly before demand is realized and a fixed ordering cost is incurred for the nonperishable part. We show that a simple (sn,Surn:x-wiley:0894069X:media:NAV20332:tex2gif-stack-1,Surn:x-wiley:0894069X:media:NAV20332:tex2gif-stack-2) policy is optimal. Under this policy, Surn:x-wiley:0894069X:media:NAV20332:tex2gif-stack-3 along with the number of backorders at the beginning of a period if any and the availability of the nonperishable part (part 1) determines the optimal order quantity of the perishable part (part 2), while (sn,Surn:x-wiley:0894069X:media:NAV20332:tex2gif-stack-4) guide when and how much of part 1 to order at each state. Numerical study demonstrates that the benefits of using the joint replenishment policy can be substantial, especially when the unit costs are high and/or the profit margin is low. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009
Keywords:inventory  dynamic programming  stochastic
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