Literature DB >> 16209554

Medium term planning of biopharmaceutical manufacture using mathematical programming.

Kais Lakhdar1, Yuhong Zhou, James Savery, Nigel J Titchener-Hooker, Lazaros G Papageorgiou.   

Abstract

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.

Mesh:

Year:  2005        PMID: 16209554     DOI: 10.1021/bp0501571

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  3 in total

1.  Capacity planning for batch and perfusion bioprocesses across multiple biopharmaceutical facilities.

Authors:  Cyrus C Siganporia; Soumitra Ghosh; Thomas Daszkowski; Lazaros G Papageorgiou; Suzanne S Farid
Journal:  Biotechnol Prog       Date:  2014-01-24

2.  Optimization-based framework for resin selection strategies in biopharmaceutical purification process development.

Authors:  Songsong Liu; Spyridon Gerontas; David Gruber; Richard Turner; Nigel J Titchener-Hooker; Lazaros G Papageorgiou
Journal:  Biotechnol Prog       Date:  2017-05-18

3.  Synthesis and analysis of separation networks for the recovery of intracellular chemicals generated from microbial-based conversions.

Authors:  Kirti M Yenkie; Wenzhao Wu; Christos T Maravelias
Journal:  Biotechnol Biofuels       Date:  2017-05-08       Impact factor: 6.040

  3 in total

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