Modeling the effects of advanced automation and process design on Cell Line Development

Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015. In conjunction with the Leaders for Global Operations Program at MIT.

Bibliographic Details
Main Author: Shofnos, Ryan
Other Authors: David E. Hardt , Retsef Levi and and J. Christopher Love.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2015
Subjects:
Online Access:http://hdl.handle.net/1721.1/100092
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author Shofnos, Ryan
author2 David E. Hardt , Retsef Levi and and J. Christopher Love.
author_facet David E. Hardt , Retsef Levi and and J. Christopher Love.
Shofnos, Ryan
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description Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015. In conjunction with the Leaders for Global Operations Program at MIT.
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spelling mit-1721.1/1000922022-01-27T20:31:31Z Modeling the effects of advanced automation and process design on Cell Line Development Shofnos, Ryan David E. Hardt , Retsef Levi and and J. Christopher Love. Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management Mechanical Engineering. Sloan School of Management. Leaders for Global Operations Program. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015. In conjunction with the Leaders for Global Operations Program at MIT. Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT. Cataloged from PDF version of thesis. Includes bibliographical references (pages 67-70). Research and development of biologic drugs is a time- and resource-intensive process that can span several years and billions of dollars. Any improvements in the efficiency and end-to-end cycle time of this process provide value to producers in the form of reducing at-risk investment in new drug programs and improving speed to market. Cell Line Development (CLD), a major portion of the research and development lifecycle, is responsible for creating the parent cell for these new drug programs. The biotechnology industry has made great gains in CLD technologies and procedures, though many fields continue to advance and can further contribute to improved operational efficiency. This thesis proposes a methodology for evaluating CLD systems, characterizing alternative processes and technologies, and determining the ideal investments that can maximize system efficiency and processing speed. Approaches that are currently available in the industry are reviewed and used as model inputs to determine realistic short-term gains. Furthermore, nascent technologies that may reach industrial applicability are considered for an additional potential system design. Pfizer's CLD system is used as a case study, in which it is shown that total system utilization and cycle time can be improved by 29.6% and 8.8%, respectively, through the use of currently available technologies and procedures. The costs and risks of the new approaches are reviewed and found to be significantly low when compared with these gains. As technologies continue to develop in the future, they may further improve CLD system performance. However, the majority of gains are achieved by applying currently available approaches. by Ryan Shofnos. S.M. M.B.A. 2015-12-03T20:52:54Z 2015-12-03T20:52:54Z 2015 2015 Thesis http://hdl.handle.net/1721.1/100092 929035905 eng 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 70 pages application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Sloan School of Management.
Leaders for Global Operations Program.
Shofnos, Ryan
Modeling the effects of advanced automation and process design on Cell Line Development
title Modeling the effects of advanced automation and process design on Cell Line Development
title_full Modeling the effects of advanced automation and process design on Cell Line Development
title_fullStr Modeling the effects of advanced automation and process design on Cell Line Development
title_full_unstemmed Modeling the effects of advanced automation and process design on Cell Line Development
title_short Modeling the effects of advanced automation and process design on Cell Line Development
title_sort modeling the effects of advanced automation and process design on cell line development
topic Mechanical Engineering.
Sloan School of Management.
Leaders for Global Operations Program.
url http://hdl.handle.net/1721.1/100092
work_keys_str_mv AT shofnosryan modelingtheeffectsofadvancedautomationandprocessdesignoncelllinedevelopment