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Journal Articles International Journal of Production Research Year : 2017

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

Philipp Melchiors
  • Function : Author
Roel Leus
  • Function : Author
Rainer Kolisch
  • Function : Author

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.

Dates and versions

hal-02991018 , version 1 (05-11-2020)

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Philipp Melchiors, Roel Leus, Stefan Creemers, Rainer Kolisch. Dynamic order acceptance and capacity planning in a stochastic multi-project environment with a bottleneck resource. International Journal of Production Research, 2017, 56 (1-2), pp.459-475. ⟨10.1080/00207543.2018.1431417⟩. ⟨hal-02991018⟩
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