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dc.contributor.advisorLawrence Lapide.en_US
dc.contributor.authorKou, Xihangen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2009-04-29T17:12:08Z
dc.date.available2009-04-29T17:12:08Z
dc.date.copyright2008en_US
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/45231
dc.descriptionThesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2008.en_US
dc.descriptionIncludes bibliographical references (leaves 59-60).en_US
dc.description.abstractIn the retail industry, consumer package goods (CPG) manufacturers have been working with retailers to use Vendor-managed Inventory (VMI) to improve the overall supply chain inventory turns and finished product velocity. This thesis explores those opportunities where a consumer packaged goods company can benefit from using VMI information to improve forecasting. First, this thesis discusses a novel way to compare those forecasts at downstream and upstream demand planning levels. Forecast errors are calculated in relation to the forecast data aggregation levels. Second, a causal model is used to analyze the contributing factors of high demand planning forecast. Finally, recommendations are provided on how to use VMI information and thus incorporate VMI forecasts into the upstream supply chain planning process.en_US
dc.description.statementofresponsibilityby Xihang Kou.en_US
dc.format.extent60 leavesen_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.subjectEngineering Systems Division.en_US
dc.titleVendor-managed Inventory forecast optimization and integrationen_US
dc.title.alternativeVMI forecast optimization and integrationen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.identifier.oclc304398331en_US


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