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 | Leaders for Manufacturing Program at MIT | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Engineering Systems Division | |
dc.contributor.department | Sloan School of Management | |
dc.identifier.oclc | 174970859 | en_US |