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Capacity analysis, cycle time optimization, and supply chain strategy in multi-product biopharmaceutical manufacturing operations

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dc.contributor.advisor Andreas Schulz and Charles Cooney. en_US
dc.contributor.author Fetcho-Phillips, Kacey L. (Kacey Lynn) en_US
dc.contributor.other Leaders for Global Operations Program. en_US
dc.date.accessioned 2011-09-27T18:39:28Z
dc.date.available 2011-09-27T18:39:28Z
dc.date.copyright 2011 en_US
dc.date.issued 2011 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/66071
dc.description Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering; in conjunction with the Leaders for Global Operations Program at MIT, 2011. en_US
dc.description Cataloged from PDF version of thesis. en_US
dc.description Includes bibliographical references (p. 99-104). en_US
dc.description.abstract Application of system optimization theory, supply chain principles, and capacity modeling are increasingly valuable tools for use in pharmaceutical manufacturing facilities. The dynamics of the pharmaceutical industry - market exclusivity, high margins, product integrity and contamination constraints - coupled with increasing cost pressures, demand for specialized products increase, and growing industry complexity makes analytical business decisions necessary to sustain competitive advantage. The united application of capacity modeling, system optimization, and supply chain analysis tools, paired with implementation strategies on a multi-product vaccine production system are detailed to address important business difficulties. en_US
dc.description.statementofresponsibility by Kacey L. Fetcho-Phillips. en_US
dc.format.extent 107 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 Chemical Engineering. en_US
dc.subject Leaders for Global Operations Program. en_US
dc.title Capacity analysis, cycle time optimization, and supply chain strategy in multi-product biopharmaceutical manufacturing operations 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. Dept. of Chemical Engineering. en_US
dc.contributor.department Leaders for Global Operations Program. en_US
dc.identifier.oclc 753708394 en_US


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