Supply chain transportation plans optimization ...
Type de document :
Communication dans un congrès avec actes
Titre :
Supply chain transportation plans optimization Time-expanded graph enrichment heuristic
Auteur(s) :
Belieres, Simon [Auteur]
Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes [LAAS-ROC]
Jozefowiez, Nicolas [Auteur]
Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes [LAAS-ROC]
Semet, Frédéric [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes [LAAS-ROC]
Jozefowiez, Nicolas [Auteur]
Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes [LAAS-ROC]
Semet, Frédéric [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Titre de la manifestation scientifique :
ICCL 2017 - 8th International Conference on Computational Logistics
Ville :
Southampton
Pays :
Royaume-Uni
Date de début de la manifestation scientifique :
2017-10-18
Titre de la revue :
Computational Logistics : 8th International Conference, ICCL 2017, Southampton, UK, October 18-20, 2017, Proceedings
Date de publication :
2017-10
Mot(s)-clé(s) en anglais :
supply chain
time-expanded graph
heuristic
time-expanded graph
heuristic
Discipline(s) HAL :
Computer Science [cs]/Operations Research [math.OC]
Résumé en anglais : [en]
We adress to a problem of freight transportation in supply chains. To model flows over time in the system, we use time-expanded graphs. However, the time-expanded graphs' size increases exponentially with the number of ...
Lire la suite >We adress to a problem of freight transportation in supply chains. To model flows over time in the system, we use time-expanded graphs. However, the time-expanded graphs' size increases exponentially with the number of actors and the time dimension, which makes the industrial solvers inefficient to overcome real instances. To face this difficulty , we conceived an heuristic based from Boland's and Hewitt's Dynamic Discretization Discovery. We manipulates a partially time-expanded graph, componed of a small subset of nodes and arcs, and enriches it in-crementally. We produce a sparse graph with the essential elements and solve the associated problem, with much less constraints and variables.Lire moins >
Lire la suite >We adress to a problem of freight transportation in supply chains. To model flows over time in the system, we use time-expanded graphs. However, the time-expanded graphs' size increases exponentially with the number of actors and the time dimension, which makes the industrial solvers inefficient to overcome real instances. To face this difficulty , we conceived an heuristic based from Boland's and Hewitt's Dynamic Discretization Discovery. We manipulates a partially time-expanded graph, componed of a small subset of nodes and arcs, and enriches it in-crementally. We produce a sparse graph with the essential elements and solve the associated problem, with much less constraints and variables.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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