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dc.contributor.advisorMcGarvey, Ronald G.eng
dc.contributor.authorMirzaee, Ashkaneng
dc.date.issued2017eng
dc.date.submitted2017 Springeng
dc.description.abstractThis work considers the problem of safety stock levels for the production of multiple items, each with random demand, across multiple facilities. The traditional methodology for calculating safety stock is discussed and an alternative method for improving service levels is offered. Normal and Gamma distributions are considered to estimate safety stock levels, and the performance of both models, along with a hybrid approach, are tested on a large-scale case study example. The results of this case study indicate that a better inventory policy with less underage and overage cost can be achieved by using the proposed model and solution procedure.eng
dc.description.bibrefIncludes bibliographical references (pages 36-39).eng
dc.description.statementofresponsibilityDr. Ronald McGarvey, Thesis Supervisor.eng
dc.format.extent1 online resource (vii, 39 pages) : color illustrationseng
dc.identifier.merlinb121825425eng
dc.identifier.oclc1027704023eng
dc.identifier.urihttps://hdl.handle.net/10355/62067
dc.identifier.urihttps://doi.org/10.32469/10355/62067eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.eng
dc.sourceSubmited to University of Missouri--Columbia Graduate School.eng
dc.subject.FASTBuffer inventorieseng
dc.titleAlternative methods for calculating optimal safety stock levelseng
dc.typeThesiseng
thesis.degree.disciplineIndustrial engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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