Inventory Routing Problem over the long term: a math-heuristic approach

Nabil Absi 1 Diego Cattaruzza 2 Dominique Feillet 1 Maxime Ogier 2 Frédéric Semet 2
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 : The problem we present is the object of the ROADEF Challenge 2016. It consists in an Inventory Routing Problem over a long time horizon with additional features: the objective function to minimize is fractional (cost per unit delivered); there is no prior assignment of drivers to trailers; the time is accurately modelled: non-constant hourly consumption of each customer is provided while minute-precise delivery planning needs to be determined; vehicles can perform multiple trips during the working day. The problem calls for the determination of a delivery planning that respects operational constraints and avoids customer stockouts.
Type de document :
Communication dans un congrès
Verolog 2016, Jun 2016, Nantes, France. 〈http://verolog2016.sciencesconf.org/〉
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https://hal.inria.fr/hal-01335601
Contributeur : Frédéric Semet <>
Soumis le : mercredi 22 juin 2016 - 14:22:09
Dernière modification le : jeudi 11 janvier 2018 - 06:27:32

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  • HAL Id : hal-01335601, version 1

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Nabil Absi, Diego Cattaruzza, Dominique Feillet, Maxime Ogier, Frédéric Semet. Inventory Routing Problem over the long term: a math-heuristic approach. Verolog 2016, Jun 2016, Nantes, France. 〈http://verolog2016.sciencesconf.org/〉. 〈hal-01335601〉

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