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dc.contributor.advisorDavid Simchi-Levi.en_US
dc.contributor.authorYe, Kelly (Kelly Yunqing)en_US
dc.contributor.otherMassachusetts Institute of Technology. Operations Research Center.en_US
dc.date.accessioned2008-11-07T19:01:40Z
dc.date.available2008-11-07T19:01:40Z
dc.date.copyright2008en_US
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/43094
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2008.en_US
dc.descriptionIncludes bibliographical references (p. 37-38).en_US
dc.description.abstractWe consider the joint pricing and inventory decision problem for a single retailer who orders, stocks and sells multiple products. The products are competitive in nature, e.g., these maybe similar products from multiple brands. Demand for a product depends on its price as well as the price of all competing products. We show that the optimal pricing and inventory policy is similar to the base-stock, list-price policy which is known to be optimal for the single product case. In addition, the base-stock level of each product is nonincreasing with the inventory level of other products. This structure suggests that one can improve profit by simultaneously managing all the products rather than managing each product independently of other products.en_US
dc.description.statementofresponsibilityby Kelly (Yunqing) Ye.en_US
dc.format.extent49 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.subjectOperations Research Center.en_US
dc.titleJoint pricing and inventory decision for competitive productsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Center
dc.contributor.departmentSloan School of Management
dc.identifier.oclc244443242en_US


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