A continuous review inventory system in a random environment

buir.advisorBerk, Emre
dc.contributor.authorBayar, Aslı
dc.date.accessioned2016-01-08T20:15:40Z
dc.date.available2016-01-08T20:15:40Z
dc.date.issued1998
dc.departmentDepartment of Managementen_US
dc.descriptionAnkara : The Department of Management and the Graduate School of Business Administration of Bilkent Univ., 1998.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1998.en_US
dc.descriptionIncludes bibliographical references leaves 66-68.en_US
dc.description.abstractIn this thesis, we develop a continuous review inventory model in a random environment where holding, ordering, and purchasing cost parameters are dependent on the state of the environment. We derive the exact expressions of the operating characteristics of the model and discuss some convexity properties of the expected cost rate. A numerical analysis is provided to examine the sensitivity of the optimal policy parameters with respect to various system parameters. We compare the instantaneous shock model with our model and illustrate that ignoring finite duration of environmental states results in considerable error. Moreo\er. we compare our model with a time-average EOQ and myopic model. The results illustrate that when ordering and purchasing cost parameters change, our model performs significantly better.en_US
dc.description.degreeM.B.Aen_US
dc.description.statementofresponsibilityBayar, Aslıen_US
dc.format.extentviii, 68 leaves, tablesen_US
dc.identifier.itemidBILKUTUPB053763
dc.identifier.urihttp://hdl.handle.net/11693/18037
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectInventory.en_US
dc.subjectContinuous reviewen_US
dc.subjectRandom environmenten_US
dc.subject.lccHF5681.S8 B39 1998en_US
dc.subject.lcshInventories--Accounting.en_US
dc.subject.lcshInventory control.en_US
dc.subject.lcshMaterials management--Accounting.en_US
dc.titleA continuous review inventory system in a random environmenten_US
dc.typeThesisen_US

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