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dc.contributor.advisorStephen C. Graves.en_US
dc.contributor.authorWen, Naijunen_US
dc.contributor.otherMassachusetts Institute of Technology. Computation for Design and Optimization Program.en_US
dc.date.accessioned2011-03-24T20:24:10Z
dc.date.available2011-03-24T20:24:10Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/61903
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2010.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 61-62).en_US
dc.description.abstractThe traditional Economic Order Quantity (EOQ) model ignores the physical limitations of distribution practices. Very often distribution centers (DC) have to deliver merchandise in manufacturer-specified packages, which can impose restrictions on the application of the economic order quantity. These manufacturer-specified packages, or ship-packs, include cases (e.g., cartons containing 24 or 48 units), inners (packages of 6 or 8 units) and eaches (individual units). For each Stock Keeping Unit (SKU), a retailer decides which of these ship-pack options to use when replenishing its retail stores. Working with a major US retailer, we have developed a cost model to help determine the optimum warehouse ship-pack. Besides recommending the most economical ship-pack, the model is also capable of identifying candidates for warehouse dual-slotting, i.e., two picking modules for the same SKU that carry two different pack sizes. We find that SKUs whose sales volumes vary greatly over time will benefit more from dual-slotting. Finally, we extend our model to investigate the ideal case configuration for a particular SKU, that is, the ideal size for an inner package.en_US
dc.description.statementofresponsibilityby Naijun Wen.en_US
dc.format.extent62 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectComputation for Design and Optimization Program.en_US
dc.titleOptimization of ship-pack in a two-echelon distribution systemen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computation for Design and Optimization Program.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computation for Design and Optimization Program
dc.identifier.oclc706826069en_US


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