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Capacity Optimization and Scheduling of a Multiproduct Manufacturing Facility for Biotech Products

机译：生物技术产品的多产品生产设施的产能优化和计划

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摘要

A general mathematical framework has been proposed in this work for scheduling of a multiproduct and multipurpose facility involving manufacturing of biotech products. The specific problem involves several batch operations occurring in multiple units involving fixed processing time, unlimited storage policy, transition times, shared units, and deterministic and fixed data in the given time horizon. The different batch operations are modeled using state-task network representation. Two different mathematical formulations are proposed based on discrete- and continuous-time representations leading to a mixed-integer linear programming model which is solved using General Algebraic Modeling System software. A case study based on a real facility is presented to illustrate the potential and applicability of the proposed models. The continuous-time model required less number of events and has a smaller problem size compared to the discrete-time model.
机译：在这项工作中提出了一个通用的数学框架，用于安排涉及生物技术产品制造的多产品和多用途设施的调度。特定问题涉及在多个单元中发生的多个批处理操作，这些操作涉及固定的处理时间，无限的存储策略，过渡时间，共享的单元，以及给定时间范围内的确定性和固定数据。使用状态任务网络表示对不同的批处理操作进行建模。基于离散时间和连续时间表示法，提出了两种不同的数学公式，从而得出了使用通用代数建模系统软件求解的混合整数线性规划模型。提出了一个基于实际设施的案例研究，以说明所提出模型的潜力和适用性。与离散时间模型相比，连续时间模型需要较少的事件数，并且问题规模较小。

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