2026-09-19T11:15:16Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/660712022-01-28T17:53:21Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Andreas Schulz and Charles Cooney.
Fetcho-Phillips, Kacey L. (Kacey Lynn)
Leaders for Global Operations Program.
Leaders for Global Operations Program at MIT
Massachusetts Institute of Technology. Department of Chemical Engineering
Sloan School of Management
2011-09-27T18:39:28Z
2011-09-27T18:39:28Z
2011
2011
http://hdl.handle.net/1721.1/66071
753708394
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.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 99-104).
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.
by Kacey L. Fetcho-Phillips.
S.M.
M.B.A.
107 p.
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.
Chemical Engineering.
Leaders for Global Operations Program.
Capacity analysis, cycle time optimization, and supply chain strategy in multi-product biopharmaceutical manufacturing operations
Thesis
application/pdf
Publication
unknown
unknown
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<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.</Abstract>
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