On stock rationing policies for continuous review inventory systems

buir.advisorFadıloğlu, M. Murat
dc.contributor.authorBulut, Önder
dc.date.accessioned2016-07-01T11:03:51Z
dc.date.available2016-07-01T11:03:51Z
dc.date.issued2005
dc.departmentDepartment of Industrial Engineeringen_US
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractRationing is an inventory policy that allows prioritization of different demand classes. In this thesis, we analyze the stock rationing policies for continuous review systems. We clarify some of the ambiguities present in the current literature. Then, we propose a new method for the exact analysis of lot-for-lot inventory systems with backorders under rationing policy. We show that if such an inventory system is sampled at multiples of supply leadtime, the state of the system evolves according to a Markov chain. We provide a recursive procedure to generate the transition probabilities of the embedded Markov chain. It is possible to obtain the steady-state probabilities of interest with desired accuracy by considering a truncated version of the chain. Finally, we propose a dynamic rationing policy, which makes use of the information on the status of the outstanding replenishment orders. We conduct a simulation study to evaluate the performance of the proposed policy.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityBulut, Önderen_US
dc.format.extentviii, 74 leaves, tables and graphicsen_US
dc.identifier.itemidBILKUTUPB093010
dc.identifier.urihttp://hdl.handle.net/11693/29713
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectStochastic inventory modelsen_US
dc.subjectStock rationingen_US
dc.subjectMultiple demand classesen_US
dc.subjectEmbedded Markov chainsen_US
dc.subjectSolution of infinite state space Markov chainsen_US
dc.subject.lccTS160 .B85 2005en_US
dc.subject.lcshInventory control Mathematical models.en_US
dc.titleOn stock rationing policies for continuous review inventory systemsen_US
dc.typeThesisen_US

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