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Analyzing and Optimizing the Throughput of a Pharmaceutical Production Process

In: Operations Research Proceedings 2019

Author

Listed:
  • Heiner Ackermann

    (Fraunhofer Institute for Industrial Mathematics ITWM)

  • Sandy Heydrich

    (Fraunhofer Institute for Industrial Mathematics ITWM)

  • Christian Weiß

    (Fraunhofer Institute for Industrial Mathematics ITWM)

Abstract

We describe a planning and scheduling problem arising from a pharmaceutical application. In a complex production process, individualized drugs are produced in a flow-shop like process with multiple dedicated batching machines at each process stage. Furthermore, due to errors jobs might recirculate to earlier stages and get re-processed. Motivated by the practical application, we investigate techniques for improving the performance of the process. First, we study some simple scheduling heuristics and evaluate their performance using simulations. Second, we show how the scheduling results can also be improved significantly by slightly increasing the number of machines at some crucial points.

Suggested Citation

  • Heiner Ackermann & Sandy Heydrich & Christian Weiß, 2020. "Analyzing and Optimizing the Throughput of a Pharmaceutical Production Process," Operations Research Proceedings, in: Janis S. Neufeld & Udo Buscher & Rainer Lasch & Dominik Möst & Jörn Schönberger (ed.), Operations Research Proceedings 2019, pages 591-597, Springer.
    • Handle: RePEc:spr:oprchp:978-3-030-48439-2_72
    DOI: 10.1007/978-3-030-48439-2_72
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    Cited by:

    1. Christoph Hertrich & Christian Weiß & Heiner Ackermann & Sandy Heydrich & Sven O. Krumke, 2020. "Scheduling a proportionate flow shop of batching machines," Journal of Scheduling, Springer, vol. 23(5), pages 575-593, October.

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