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 | Leaders for Global Operations 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 | 810135629 | en_US |