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A Tool for Modeling Strategic Decisions in Cell Culture Manufacturing
Author(s) -
Farid Suzanne S.,
Novais Joana L.,
Karri Srinivas,
Washbrook John,
TitchenerHooker Nigel J.
Publication year - 2000
Publication title -
biotechnology progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 129
eISSN - 1520-6033
pISSN - 8756-7938
DOI - 10.1021/bp0001056
Subject(s) - biopharmaceutical , flexibility (engineering) , process (computing) , process management , computer science , decision support system , manufacturing process , software , business , manufacturing engineering , engineering , microbiology and biotechnology , artificial intelligence , statistics , materials science , mathematics , composite material , biology , programming language , operating system
The development of a prototype tool for modeling manufacturing in a biopharmaceutical plant is discussed. A hierarchical approach to modeling a manufacturing process has been adopted to confer maximum user flexibility. The use of this framework for assessing the impact of manufacturing decisions on strategic technical and business indicators is demonstrated via a case study. In the case study, which takes the example of a mammalian cell culture process delivering a therapeutic for clinical trials, the dynamic modeling tool indicates how manufacturing options affect the demands on resources and the associated manufacturing costs. The example illustrates how the decision‐support software can be used by biopharmaceutical companies to investigate the effects of working toward different strategic goals on the cost‐effectiveness of the process, prior to committing to a particular option.