Lot sizing with a Markov production process and imperfect items scrapped

dc.contributor.affiliationMaddah, B., Engineering Management Program, American University of Beirut, P.O. Box 11-0236, Beirut 1107 2020, Lebanon
dc.contributor.affiliationMoussawi, L., Olayan School of Business, American University of Beirut, P.O. Box 11-0236, Beirut 1107 2020, Lebanon
dc.contributor.affiliationJaber, M.Y., Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, Ont. M5B 2K3, Canada
dc.contributor.authorMaddah B.
dc.contributor.authorMoussawi L.
dc.contributor.authorJaber M.Y.
dc.contributor.authorOrcidID
dc.contributor.authorResearcherID
dc.contributor.contactEmailbacel.maddah@aub.edu.lb; lama.moussawi@aub.edu.lb; mjaber@ryerson.ca
dc.contributor.departmentUniversity: American University of Beirut; Faculty: Suliman S. Olayan School of Business; Department: School of Business;
dc.contributor.departmentSchool of Business
dc.contributor.editor
dc.contributor.facultySuliman S. Olayan School of Business
dc.contributor.institutionAmerican University of Beirut
dc.date2010
dc.date.accessioned2017-09-07T07:51:19Z
dc.date.available2017-09-07T07:51:19Z
dc.date.issued2010
dc.description.abstractThis 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. © 2009 Elsevier B.V. All rights reserved.
dc.format.extent
dc.format.extentPages: (340-347)
dc.identifier10.1016/j.ijpe.2009.11.029
dc.identifier.doihttp://dx.doi.org/10.1016/j.ijpe.2009.11.029
dc.identifier.issn9255273
dc.identifier.urihttp://hdl.handle.net/10938/12082
dc.languageEnglish
dc.publisherAMSTERDAM
dc.relation.ispartofPublication Name: International Journal of Production Economics; Publication Year: 2010; Volume: 124; no. 2; Pages: (340-347);
dc.sourceScopus
dc.titleLot sizing with a Markov production process and imperfect items scrapped
dc.typeArticle

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