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使用数学规划进行生物制药生产的中期规划。

Medium term planning of biopharmaceutical manufacture using mathematical programming.

作者信息

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

机构信息

The Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, UCL University College London, Torrington Place, London WC1E 7JE, UK.

出版信息

Biotechnol Prog. 2005 Sep-Oct;21(5):1478-89. doi: 10.1021/bp0501571.

DOI:10.1021/bp0501571
PMID:16209554
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.

摘要

监管压力和产能限制正迫使生物制药行业考虑采用按批次运行的多产品生产设施。这种灵活且具成本效益的生产需求给规划和调度带来了重大挑战。本文回顾了生物制药生产的规划和调度问题,并提出了一种多产品生物制药生产设施的规划方法。该问题被表述为一个混合整数线性规划(MILP),以代表规划过程中所需的相关决策,并在两个典型的生物制药行业规划问题上进行了测试。将所提出的公式与基于行业规则的方法进行了比较,在盈利能力方面它表现更优。结果表明,所开发的公式有效地体现了规划问题,对于生物制药行业的制造商来说,尤其是在产能有限的时候,将是一个有用的决策工具。

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