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dc.contributor.advisorAase, Geralden_US
dc.contributor.authorShan, Xiaoyue, 1995--en_US
dc.date.accessioned2017-05-17T18:59:59Z
dc.date.available2017-05-17T18:59:59Z
dc.date.issued2017-05-03
dc.identifier.urihttp://commons.lib.niu.edu/handle/10843/17628
dc.description.abstractThis research explores how items are grouped into product families in a manner that reduces travel time (or distance) for operators picking orders in a warehouse. By identifying items commonly ordered together and locating those items together in the warehouse, operators can pick multiple items using a single trip rather than separate trips to different warehouse locations. Using secondary data source provided by our business sponsor, this research uses K-means clustering analysis and Market basket analysis as the primary analytic methodologies to generate SKU families. Other technical tools are MS Excel, MS Access and SAS University Edition. This final report gathers the various deliverables pertaining to the four analytic steps: 1) Getting & Exploring Data, 2) Cleaning Data, 3) Analyzing Data, and 4) Presenting Results. Final results reveal fifty items grouped into 6 families can reduce warehouse picking expenses of $420,000 by $40,134.85. This reflects a 9.6% reduction in total warehouse labor expenses.en_US
dc.format.extent37 pagesen_US
dc.language.isoen_USen_US
dc.publisherNorthern Illinois Universityen_US
dc.rightsNIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.en_US
dc.subjectproduct familiesen_US
dc.subjectimproving warehouse picking efficiencyen_US
dc.subjectwarehouse pickingen_US
dc.subjectImproving warehouse picking efficiency using product familiesen_US
dc.subjectk-meansen_US
dc.titleImproving warehouse picking efficiency using product familiesen_US
dc.type.genreDissertation/Thesisen_US
dc.typeDataset/Spreadsheeten_US
dc.typeImageen_US
dc.typeTexten_US
dc.contributor.departmentDepartment of Operations and Information Managementen_US
dc.description.degreeB.S. (Bachelor of Science)en_US


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