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dc.contributor.advisorDavid Simchi-Levi and Stephen Graves.en_US
dc.contributor.authorDrake, Bryan (Bryan G.)en_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2012-09-27T18:12:16Z
dc.date.available2012-09-27T18:12:16Z
dc.date.copyright2012en_US
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/73440
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Global Operations Program at MIT, 2012.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 48).en_US
dc.description.abstractDell's Third-Party (3P) Product network uses several different order fulfillment methods, though the determination of which products are fulfilled under which method is not clearly delineated. We have developed a tool to assist in the decision making process for Dell's 3P distribution network. This tool transparently presents the results of cost modeling and forecast variance simulation while maintaining usability to achieve broad adoption and exert influence on product fulfillment method decisions. The cost model created takes into account product, overhead, logistics, and capital costs and has the capability to deal with volume uncertainties through simulation. This tool solidifies the discussion around choosing the correct fulfillment method decision process and is the first step towards quantifying the fulfillment method decision.en_US
dc.description.statementofresponsibilityby Bryan Drake.en_US
dc.format.extent48 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.subjectSloan School of Management.en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleEnabling strategic fulfillment : a decision support tool for fulfillment network optimizationen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentLeaders for Global Operations Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentSloan School of Management
dc.identifier.oclc810143473en_US


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