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Models and Methods for Production Scheduling in the Pharmaceutical Industry

In: Planning Production and Inventories in the Extended Enterprise

Author

Listed:
  • Dario Pacciarelli

    (Università “Roma Tre”)

  • Carlo Meloni
  • Marco Pranzo

Abstract

The pharmaceutical marketplace is dominated by large multinational companies, competing worldwide, with a global presence in branded products. Retaining marketshare requires standards of product quality and reliability close to 100%, attained at sustainable cost. Wholesalers and final customers expect reliability and quality from pharmaceutical companies, which face an increasing challenge to achieve such standards. Reliable production plans are critical to this aim. In fact, to achieve 100% availability of final products, it is not sufficient to attain excellence in each phase of the planning process from strategic planning to real-time scheduling, but it is also important to effectively manage the coordination between these different phases.

Suggested Citation

  • Dario Pacciarelli & Carlo Meloni & Marco Pranzo, 2011. "Models and Methods for Production Scheduling in the Pharmaceutical Industry," International Series in Operations Research & Management Science, in: Karl G Kempf & Pınar Keskinocak & Reha Uzsoy (ed.), Planning Production and Inventories in the Extended Enterprise, chapter 0, pages 429-459, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-8191-2_17
    DOI: 10.1007/978-1-4419-8191-2_17
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    Citations

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    Cited by:

    1. Michele Ciavotta & Carlo Meloni & Marco Pranzo, 2016. "Speeding up a Rollout algorithm for complex parallel machine scheduling," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4993-5009, August.
    2. Goodson, Justin C. & Thomas, Barrett W. & Ohlmann, Jeffrey W., 2017. "A rollout algorithm framework for heuristic solutions to finite-horizon stochastic dynamic programs," European Journal of Operational Research, Elsevier, vol. 258(1), pages 216-229.

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