Supply chain transportation plans optimization - Time-expanded graph enrichment heuristic

Simon Belieres 1 Nicolas Jozefowiez 1 Frédéric Semet 2
1 LAAS-ROC - Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
2 INOCS - Integrated Optimization with Complex Structure
ULB - Université Libre de Bruxelles [Bruxelles], Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : 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.
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Contributor : Frédéric Semet <>
Submitted on : Thursday, December 14, 2017 - 4:58:56 PM
Last modification on : Thursday, October 17, 2019 - 2:46:03 PM


  • HAL Id : hal-01664325, version 1


Simon Belieres, Nicolas Jozefowiez, Frédéric Semet. Supply chain transportation plans optimization - Time-expanded graph enrichment heuristic. 8th International Conference on Computational Logistics (ICCL 2017), Oct 2017, Southampton, United Kingdom. ⟨hal-01664325⟩



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