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

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.
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https://hal.archives-ouvertes.fr/hal-02991018
Contributor : Isabelle Celet Connect in order to contact the contributor
Submitted on : Thursday, November 5, 2020 - 6:09:09 PM
Last modification on : Wednesday, November 3, 2021 - 4:17:37 AM

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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, Taylor & Francis, 2017, 56 (1-2), pp.459-475. ⟨10.1080/00207543.2018.1431417⟩. ⟨hal-02991018⟩

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