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Medium Term Planning of Biopharmaceutical Manufacture with Uncertain Fermentation Titers
Author(s) -
Lakhdar Kais,
Farid Suzanne S.,
TitchenerHooker Nigel J.,
Papageorgiou Lazaros G.
Publication year - 2006
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/bp0601950
Subject(s) - biopharmaceutical , randomness , scheduling (production processes) , computer science , mathematical optimization , production planning , linear programming , work (physics) , production (economics) , engineering , microbiology and biotechnology , mathematics , economics , mechanical engineering , statistics , biology , macroeconomics
Abstract The growing trend of employing multiproduct manufacturing facilities along with the randomness inherent in the biopharmaceutical manufacturing environment is creating significant scheduling and planning challenges for the biopharmaceutical industry. This work focuses on capturing the effect of uncertainty in fermentation titers when optimizing the planning of biopharmaceutical manufacturing campaigns. A mixed integer linear programming (MILP) model based on previous work is derived via chance constrained programming (CCP). The methodology is applied to two illustrative examples, and the results are compared with those from the deterministic model and a multiscenario model accompanied by an iterative construction algorithm. The computational results indicate that the proposed methodology offers significant improvements in solution quality over the compared approaches and presents an opportunity for biopharmaceutical manufacturers to make better medium term planning decisions, particularly under uncertain manufacturing conditions.