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Medium Term Planning of Biopharmaceutical Manufacture using Mathematical Programming
Author(s) -
Lakhdar Kais,
Zhou Yuhong,
Savery James,
TitchenerHooker Nigel J.,
Papageorgiou Lazaros G.
Publication year - 2005
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/bp0501571
Subject(s) - biopharmaceutical , profitability index , scheduling (production processes) , forcing (mathematics) , computer science , linear programming , job shop scheduling , operations research , mathematical optimization , business , engineering , mathematics , microbiology and biotechnology , biology , mathematical analysis , schedule , finance , algorithm , operating system
Regulatory pressures and capacity constraints are forcing the biopharmaceutical industry to consider employing multiproduct manufacturing facilities running on a campaign basis. The need for such flexible and cost‐effective manufacture poses a significant challenge for planning and scheduling. This paper reviews the problem of planning and scheduling of biopharmaceutical manufacture and presents a methodology for the planning of multiproduct biopharmaceutical manufacturing facilities. The problem is formulated as a mixed integer linear program (MILP) to represent the relevant decisions required within the planning process and is tested on two typical biopharmaceutical industry planning problems. The proposed formulation is compared with an industrial rule based approach, which it outperforms in terms of profitability. The results indicate that the developed formulation offers an effective representation of the planning problem and would be a useful decision tool for manufacturers in the biopharmaceutical industry particularly at times of limited manufacturing capacity.