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dc.contributor.advisorCharles Fine and Josef Oehmen.en_US
dc.contributor.authorRosenfield, Todd Aen_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2015-01-05T20:02:53Z
dc.date.available2015-01-05T20:02:53Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/92657
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 61-62).en_US
dc.description.abstractThis thesis focuses on a medical device manufacturer, Company X, using a razor-and-blades business strategy, in which surgical instruments are offered to customers at little or no cost in order to facilitate the sale of certain implantable products that require the use of such instruments. It faces considerable challenges in managing the instrument supply chain. Company X is interested in better understanding its instrument portfolio through segmentation so that it can efficiently manage its supply chain with an appropriate supply chain strategy for each segment. This thesis deals with the development of a segmentation methodology that can be used to objectively rank and segment medical device products that do not directly generate sales revenues, but contribute to the revenues generated by a dependent class of products. A methodology was developed to rank and segment the instruments within Company X's instrument portfolio using criticality heuristics. The segments were then evaluated for opportunities for inventory reduction without harming service levels. In addition, a cost minimization decision tool was developed to determine the optimal amount of excess inventory that should be discarded when items subject to minimum order quantities. Using the segmentation methodology and the minimum order quantity decision tool, Company X can potentially reduce its inventory value by over 60%.en_US
dc.description.statementofresponsibilityby Todd A. Rosenfield.en_US
dc.format.extent62 pagesen_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.subjectMechanical Engineering.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleExternal operations portfolio analysis and segmentationen_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.description.degreeS.M.en_US
dc.contributor.departmentLeaders for Global Operations Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.contributor.departmentSloan School of Management
dc.identifier.oclc898139303en_US


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