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Practical application of simulation and campaign scheduling of the manufacturing process based on monoclonal antibody
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Title
Practical application of simulation and campaign scheduling of the manufacturing process based on monoclonal antibody
Name
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Prabhu
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Siddharth
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1995-
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Siddharth Prabhu
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author
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Ramachandran
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Rohit
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Rohit Ramachandran
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Advisory Committee
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chair
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Ierapetritou
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Marianthi
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Marianthi Ierapetritou
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Advisory Committee
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internal member
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(type = personal)
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(type = family)
Singh
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(type = given)
Ravendra
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Ravendra Singh
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Advisory Committee
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internal member
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Rutgers University
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School of Graduate Studies
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Text
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theses
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2018
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2018-10
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2018
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xx
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eng
Abstract
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Monoclonal antibodies are the fastest growing segment of pharmaceutical molecules. Currently, they are used as diagnostics, therapeutics for various medical uses as well as in protein purification. They are among the costliest drugs available in the market. In recent years, due to the competitive pharmaceutical market and incentives for antibody development, biotech industries are investing in novel and advanced technologies to increase the productivity as well as the efficiency of the process.
This project discusses the use of commercially available simulation and scheduling tools to increase the efficiency of the manufacturing process based on monoclonal antibody (mAb). SuperPro Designer and SchedulePro (Intelligen, Inc) is used as a recipe based scheduling tool while VirtECS Scheduler (APC, Inc) is used as a mathematical optimization tool. The manufacturing facility of Eli Lilly and Company located in Kinsale, Ireland is modeled for this thesis. A comparison of these two tools to determine an optimal schedule is obtained. The results show detailed equipment tracking, increased scheduling flexibility, faster facility fit, real-time scheduling and automatic conflict resolution. Increasing the efficiency of the process as well as playing a significant role in day-to-day activities and therefore saving valuable employee time.
This project discusses the use of commercially available simulation and scheduling tools to increase the efficiency of the manufacturing process based on monoclonal antibody (mAb). SuperPro Designer and SchedulePro (Intelligen, Inc) is used as a recipe based scheduling tool while VirtECS Scheduler (APC, Inc) is used as a mathematical optimization tool. The manufacturing facility of Eli Lilly and Company located in Kinsale, Ireland is modeled for this thesis. A comparison of these two tools to determine an optimal schedule is obtained. The results show detailed equipment tracking, increased scheduling flexibility, faster facility fit, real-time scheduling and automatic conflict resolution. Increasing the efficiency of the process as well as playing a significant role in day-to-day activities and therefore saving valuable employee time.
Subject
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Topic
Chemical and Biochemical Engineering
Subject
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Topic
Monoclonal antibodies
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Rutgers University Electronic Theses and Dissertations
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ETD_9329
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electronic resource
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1 online resource (71 pages : illustrations)
Note
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M.S.
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Includes bibliographical references
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by Siddharth Prabhu
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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doi:10.7282/t3-wx8z-kg72
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ETD graduate
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Rights
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The author owns the copyright to this work.
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Name
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Prabhu
GivenName
Siddharth
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Permission or license
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2018-10-03 11:57:01
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Siddharth Prabhu
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Rutgers University. School of Graduate Studies
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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2018-10-31
DateTime
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2020-10-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 30th, 2020.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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windows xp
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