Dynamic order acceptance and capacity ...
Document type :
Article dans une revue scientifique
Title :
Dynamic order acceptance and capacity planning in a stochastic multi-project environment with a bottleneck resource
Author(s) :
Melchiors, Philipp [Auteur]
Leus, Roel [Auteur]
Creemers, Stefan [Auteur]
Lille économie management - UMR 9221 [LEM]
Kolisch, Rainer [Auteur]
Leus, Roel [Auteur]
Creemers, Stefan [Auteur]
Lille économie management - UMR 9221 [LEM]
Kolisch, Rainer [Auteur]
Journal title :
International Journal of Production Research
Pages :
459-475
Publisher :
Taylor & Francis
Publication date :
2017-10-31
ISSN :
0020-7543
English keyword(s) :
order acceptance
capacity planning
multi-project scheduling
Markov decision processes
dynamic arrivals
capacity planning
multi-project scheduling
Markov decision processes
dynamic arrivals
HAL domain(s) :
Sciences de l'Homme et Société
Sciences de l'Homme et Société/Gestion et management
Sciences de l'Homme et Société/Gestion et management
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
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