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

Philipp Melchiors, Roel Leus, Stefan Creemers and Rainer Kolisch
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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

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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.

Keywords: order acceptance; capacity planning; multi-project scheduling; Markov decision processes; dynamic arrivals (search for similar items in EconPapers)
Date: 2017-10-31
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Published in International Journal of Production Research, 2017, 56 (1-2), pp.459-475. ⟨10.1080/00207543.2018.1431417⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02991018

DOI: 10.1080/00207543.2018.1431417

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