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Demand allocation strategies in the seasonal retail industry

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dc.contributor.advisor Deborah Nightingale and Sara L. Beckman. en_US
dc.contributor.author Chan, Carin H en_US
dc.contributor.other Leaders for Manufacturing Program. en_US
dc.date.accessioned 2007-11-16T14:29:26Z
dc.date.available 2007-11-16T14:29:26Z
dc.date.copyright 2007 en_US
dc.date.issued 2007 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/39587
dc.description Thesis (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.description Includes bibliographical references (p. 64-65). en_US
dc.description.abstract Amazon.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.statementofresponsibility by Carin H. Chan. en_US
dc.format.extent 72 p. en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.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.uri http://dspace.mit.edu/handle/1721.1/7582
dc.subject Sloan School of Management. en_US
dc.subject Engineering Systems Division. en_US
dc.subject Leaders for Manufacturing Program. en_US
dc.title Demand allocation strategies in the seasonal retail industry en_US
dc.type Thesis en_US
dc.description.degree S.M. en_US
dc.description.degree M.B.A. en_US
dc.contributor.department Sloan School of Management. en_US
dc.contributor.department Massachusetts Institute of Technology. Engineering Systems Division. en_US
dc.contributor.department Leaders for Manufacturing Program. en_US
dc.identifier.oclc 174970859 en_US


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