Lot sizing with a Markov production process and imperfect items scrapped

被引:21
|
作者
Maddah, Bacel [1 ]
Moussawi, Lama [2 ]
Jaber, Mohamad Y. [3 ]
机构
[1] Amer Univ Beirut, Engn Management Program, Beirut 11072020, Lebanon
[2] Amer Univ Beirut, Olayan Sch Business, Beirut 11072020, Lebanon
[3] Ryerson Univ, Dept Mech & Ind Engn, Toronto, ON M5B 2K3, Canada
关键词
Imperfect quality; Random yield; Lot sizing; EOQ; PRODUCTION QUANTITY MODEL; SETUP COST REDUCTION; QUALITY; INVENTORY; IMPROVEMENT;
D O I
10.1016/j.ijpe.2009.11.029
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper considers an inventory system within the economic order quantity (EOQ) model framework under random supply. The production process can go "out-of-control" with a constant probability and start producing imperfect quality items. Such a system has been studied in the literature under the assumption that defective items are reworked instantaneously and returned to inventory. In some situations, imperfect quality items are not necessarily defective and are removed from the inventory to be used elsewhere. This paper develops two models where imperfect items are removed from inventory. The first model finds the expected cost and optimal lot size assuming that imperfect quality items are removed from inventory at no cost. The second model assumes that batches of imperfect quality are consolidated and shipped together due to economies of scale in shipping. Analytical and numerical results are developed for both models revealing several managerial insights. (C) 2009 Elsevier B.V. All rights reserved.
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页码:340 / 347
页数:8
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