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A network planning process and inventory strategy for high-mix low-volume markets

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dc.contributor.advisor Deborah Nightingale and J. Bradley Morrison. en_US
dc.contributor.author Smith, Sally A. (Sally Amanda) en_US
dc.contributor.other Leaders for Global Operations Program. en_US
dc.date.accessioned 2012-09-27T15:29:14Z
dc.date.available 2012-09-27T15:29:14Z
dc.date.copyright 2012 en_US
dc.date.issued 2012 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/73398
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 Global Operations Program at MIT, 2012. en_US
dc.description Cataloged from PDF version of thesis. en_US
dc.description Includes bibliographical references (p. 97-99). en_US
dc.description.abstract From June to December 2011, the impact of rapid international expansion on the Global Supply Chain organization at Amgen - one of the world's leading human therapeutics companies in the biotechnology industry - was investigated and a strategy was developed to mitigate the major challenges associated with globalization. Amgen is transitioning from predominantly high-volume low-mix manufacturing and a "one size fits all" Operations mentality; the company is challenged to not only now effectively and efficiently accommodate high-mix low-volume markets, but to also increase its overall market responsiveness and flexibility. To mitigate the challenges, an end-to-end depiction of a specific product's supply chain was developed and an inventory supermarket strategy supported by an Excel macro was developed. We believe the strategy mitigates the challenges, specifically by decreasing manufacturing lead time, buffering against supply chain variability, improving demand signaling and sustaining on-time deliveries. The Excel macro described in this thesis serves as a stepping-stone for the development of a future, more sustainable solution for Amgen's enterprise-wide systems. en_US
dc.description.statementofresponsibility by Sally A. Smith. en_US
dc.format.extent 99 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 en_US
dc.subject Sloan School of Management. en_US
dc.subject Engineering Systems Division. en_US
dc.subject Leaders for Global Operations Program. en_US
dc.title A network planning process and inventory strategy for high-mix low-volume markets 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 Global Operations Program. en_US
dc.identifier.oclc 810135629 en_US


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