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Thomas Roemer and Brian Anthony. Sazdanoff, Nicholas Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management 2015-09-29T18:59:33Z 2015-09-29T18:59:33Z 2015 2015 http://hdl.handle.net/1721.1/99037 921410951 Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015. In conjunction with the Leaders for Global Operations Program at MIT. Cataloged from PDF version of thesis. Includes bibliographical references (pages 64-65). This thesis evaluates the use of postponement in the Drug Product (DP) supply chain at Amgen, which is characterized by highly variable production lead times. The motivation for the use of postponement in the DP supply chain is to reduce the lead time and improve the service level from the manufacturing site to the distribution centers (DCs). Amgen is undergoing a rapid global expansion and is now serving markets that operate on tender (bid) systems that require rapid fulfillment. To compound this challenge, FDA driven requirements have significantly increased the likelihood of generating Non-Conformances (NCs) in DP manufacturing, which in turn increases the production lead time variability. A simulation model was created in Microsoft Excel that uses historic production lead time and demand data to determine postponement levels and simulate performance of the system. Leveraging the simulation model, this thesis demonstrates that utilizing postponement in supply chains with highly variable production lead times can significantly improve service level and diminish customer lead time while potentially reducing global inventory levels. by Nicholas Sazdanoff. M.B.A. S.M. 65 pages eng Massachusetts Institute of Technology 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. http://dspace.mit.edu/handle/1721.1/7582 Sloan School of Management. Mechanical Engineering. Leaders for Global Operations Program. Evaluation of postponement in the Drug Product supply chain Evaluation of postponement in the DP supply chain Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="01c6eade-2d63-47a6-ae86-94b1cef6cc52"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Evaluation of postponement in the Drug Product supply chain</Title> <Subtitle>Evaluation of postponement in the DP supply chain</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2015</PublicationDate> <Authors> <Author> <DisplayName>Sazdanoff, Nicholas</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Sloan School of Management.</Keyword> <Keyword>Mechanical Engineering.</Keyword> <Keyword>Leaders for Global Operations Program.</Keyword> <Abstract>This thesis evaluates the use of postponement in the Drug Product (DP) supply chain at Amgen, which is characterized by highly variable production lead times. The motivation for the use of postponement in the DP supply chain is to reduce the lead time and improve the service level from the manufacturing site to the distribution centers (DCs). Amgen is undergoing a rapid global expansion and is now serving markets that operate on tender (bid) systems that require rapid fulfillment. To compound this challenge, FDA driven requirements have significantly increased the likelihood of generating Non-Conformances (NCs) in DP manufacturing, which in turn increases the production lead time variability. A simulation model was created in Microsoft Excel that uses historic production lead time and demand data to determine postponement levels and simulate performance of the system. Leveraging the simulation model, this thesis demonstrates that utilizing postponement in supply chains with highly variable production lead times can significantly improve service level and diminish customer lead time while potentially reducing global inventory levels.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>