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Capacity Planning under Clinical Trials Uncertainty for the Pharmaceutical Industry

机译:制药行业临床试验不确定性下的产能规划

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摘要

Market globalisation, increased competitiveness and tightness of capital are some of the factors in the modern economy that affect every stage of the business value chain, especially in the pharmaceutical industry where the typical life-cycles of new drugs are becoming shorter. It may take eight years to develop a new product and the investment in it must be recovered quickly, as competitor products can appear in the market reducing its profitability. This paper presents a mixed integer optimisation model, which selects simultaneously the optimal capacity planning and investment strategy subject to the uncertainty of phased clinical trials for a given product portfolio. The applicability of the model is demonstrated by a case study.
机译:市场全球化,增强的竞争力和资金紧张是现代经济中影响商业价值链各个阶段的一些因素,特别是在制药行业,新药的典型生命周期正在缩短。开发新产品可能需要八年时间,并且必须迅速收回投资,因为竞争对手产品可能会出现在市场中,从而降低其盈利能力。本文提出了一个混合整数优化模型,该模型同时根据给定产品组合的分阶段临床试验的不确定性,同时选择最佳产能计划和投资策略。案例研究证明了该模型的适用性。

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