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Dynamic order acceptance and capacity planning in a stochastic multi-project environment with a bottleneck resource

Author

Listed:
  • Philipp Melchiors
  • Roel Leus
  • Stefan Creemers

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Rainer Kolisch

Abstract

We study the integration of order acceptance and capacity planning in multi-project environments with dynamically arriving projects. We model this planning problem as a continuous-time Markov decision process to determine long-term optimal decisions. We examine whether macro-process planning should be performed before or after order acceptance. We characterise the structure of optimal policies, and explore the dependence on a number of parameters such as project payoff, project cost and order arrival time. We also look into the effects of set-up costs and the use of non-regular capacity.

Suggested Citation

  • Philipp Melchiors & Roel Leus & Stefan Creemers & Rainer Kolisch, 2017. "Dynamic order acceptance and capacity planning in a stochastic multi-project environment with a bottleneck resource," Post-Print hal-02991018, HAL.
    • Handle: RePEc:hal:journl:hal-02991018
    DOI: 10.1080/00207543.2018.1431417
    as

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