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dc.contributor.advisorNoble, James S.eng
dc.contributor.advisorKlein, Cerry M.eng
dc.contributor.authorKlein, Nicolas (Nicolas Martin)eng
dc.date.issued2014eng
dc.date.submitted2014 Springeng
dc.description"May 2014."eng
dc.descriptionThesis advisors: Dr. James Noble and Dr. Cerry Klein.eng
dc.description.abstractPicking is the number one cost center for most warehouses, representing up to 65% of their total expenditures. Travel time is the largest component of the picking cost which makes travel distance an extremely important variable. The critical issue is to reduce a warehouses picking cost by reducing the overall distance traveled by pickers. While there have been many attempts to reduce travel distance by improving product assignment, pick routing and warehouse design, this research addresses pick location design. Existing methods to pick location design are very basic as the issue is barely addressed. Most research either assumes location sizes are not a constraint, or that a single location size will be sufficient. This research shows that an intelligent approach to pick location design can significantly increase a warehouses space utilization and decrease the distance traveled in its picking operation. The method developed utilizes product dimensions and volumes as well as system attributes and constraints. By using the method developed in this research, the cost incurred by traveled distance can be reduced by up to 48%. Finally, the method is shown to be successful in real world application through a comprehensive case study performed in an actual distribution warehouse.eng
dc.description.bibrefIncludes bibliographical references (pages 81-83).eng
dc.format.extent1 online resource (viii, 85 pages) : illustrations (some color) + 2 supplementary files.eng
dc.identifier.merlinb109678692eng
dc.identifier.oclc917543021eng
dc.identifier.urihttps://hdl.handle.net/10355/44297
dc.identifier.urihttps://doi.org/10.32469/10355/44297eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. These. 2014 Theses. 2014 Freely available theseseng
dc.subjectAuthor supplied: bin, location, warehouse, bin size, location design, storageeng
dc.subject.lcshWarehouseseng
dc.subject.lcshIndustrial efficiencyeng
dc.subject.lcshHeuristiceng
dc.titleDetermining a heuristic for pick location design in an end user warehouseeng
dc.typeThesiseng
thesis.degree.disciplineIndustrial and manufacturing systems engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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