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dc.contributor.advisorNoble, James S.eng
dc.contributor.advisorChang, Cheng-Hsiung Alec, 1945-eng
dc.contributor.authorWutthisirisart, Phichet, 1984-eng
dc.date.issued2010eng
dc.date.submitted2010 Summereng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on Aug. 24, 2010).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionThesis advisor: Dr. James S. Noble, and Dr. C. Alec Chang.eng
dc.descriptionM.S. University of Missouri--Columbia 2010.eng
dc.description.abstractThe cost of warehouse operations contributes approximately 20% of the total cost in a supply-chain system, and the cost of the picking process can be as high as 65% of the warehousing cost. Therefore, there is an incentive to improve the picking process in order to reduce the overall cost of the supply-chain system. The item assignment policy which allocates items to storage locations is one of the main decision processes that is aimed at lowering the travelling cost, which is normally considered as waste. Existing methods like the Cube-per-Order-Index (COI) and the volume-based strategy focus on the picking of items individually, the fact that multiple items can be picked in one single route is not considered. In this research, the concept of linear placement that has been used in computer science is adopted to create the Minimum Delay Algorithm (MDA). The method includes the relationship among items in order to generate the item storage layout that minimizes the total walking distance of order pickers. MDA was tested against other methods like CLP, COI, and OOS with 30 study cases. The results show that MDA can provide up to a 40% travel distance saving. Finally, MDA is combined with CLP, which is an iterative improvement method, in order to further improve the solution.eng
dc.description.bibrefIncludes bibliographical referenceseng
dc.format.extentvii, 84 pageseng
dc.identifier.merlinb80707993eng
dc.identifier.oclc690008831eng
dc.identifier.urihttp://hdl.handle.net/10355/9270
dc.identifier.urihttps://doi.org/10.32469/10355/9270eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2010 Theseseng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subject.lcshIndustrial engineering -- Costseng
dc.subject.lcshOrder picking systems -- Costseng
dc.subject.lcshWarehouses -- Costseng
dc.titleRelation-based item slottingeng
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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