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dc.contributor.advisorDeborah Nightingale and Sara L. Beckman.en_US
dc.contributor.authorChan, Carin Hen_US
dc.contributor.otherLeaders for Manufacturing Program.en_US
dc.date.accessioned2007-11-16T14:29:26Z
dc.date.available2007-11-16T14:29:26Z
dc.date.copyright2007en_US
dc.date.issued2007en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/39587
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Manufacturing Program at MIT, 2007.en_US
dc.descriptionIncludes bibliographical references (p. 64-65).en_US
dc.description.abstractAmazon.com is a publicly-held company headquartered in Seattle, Washington. It revolutionized the retail industry by being one of the first major companies to sell goods over the Internet. It is an international company servicing countries throughout the world with goods ranging from books to jewelry. Amazon.com fulfills its customers' orders through a series of fulfillment centers throughout the United States. The goal of this thesis is to present a framework for testing and validating off-peak demand allocation strategies. Using Amazon.com as a primary study, this framework explores variable cost and transportation cost for the retail industry. The Amazon.com organization is discussed. Then a presentation on variable cost and transportation cost is introduced. A model is then introduced that ties variable and transportation costs together. This thesis concludes with a discussion on labor and transportation improvements implemented by other companies.en_US
dc.description.statementofresponsibilityby Carin H. Chan.en_US
dc.format.extent72 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/1721.1/7582
dc.subjectSloan School of Management.en_US
dc.subjectEngineering Systems Division.en_US
dc.subjectLeaders for Manufacturing Program.en_US
dc.titleDemand allocation strategies in the seasonal retail industryen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentLeaders for Manufacturing Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.contributor.departmentSloan School of Management
dc.identifier.oclc174970859en_US


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