Capacity analysis, cycle time optimization, and supply chain strategy in multi-product biopharmaceutical manufacturing operations
Name
753708394-MIT.pdf
Description
Full printable version
Size
9.17 MB
Format
Adobe PDF
Checksum (MD5)
ab3885828467236f82b6f2f8e9c42f74
Author(s)
Fetcho-Phillips, Kacey L. (Kacey Lynn)
Advisor(s)
Andreas Schulz and Charles Cooney.
Date Issued
2011
Publisher
Massachusetts Institute of Technology
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.
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.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 99-104).
Subjects
Sloan School of Management.
Chemical Engineering.
Leaders for Global Operations Program.
MIT Department
Leaders for Global Operations Program at MIT
Massachusetts Institute of Technology. Department of Chemical Engineering
Sloan School of Management
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