The generalized vehicle routing problem ...
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Titre :
The generalized vehicle routing problem with time windows
Auteur(s) :
Yuan, Yuan [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Cattaruzza, Diego [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Ogier, Maxime [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Semet, Frédéric [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Vigo, Daniele [Auteur]
Alma Mater Studiorum Università di Bologna = University of Bologna [UNIBO]
Integrated Optimization with Complex Structure [INOCS]
Cattaruzza, Diego [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Ogier, Maxime [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Semet, Frédéric [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Vigo, Daniele [Auteur]
Alma Mater Studiorum Università di Bologna = University of Bologna [UNIBO]
Titre de la manifestation scientifique :
VeRoLog 2019 - Workshop of the EURO Working Group on Vehicle Routing and Logistics optimization
Ville :
Seville
Pays :
Espagne
Date de début de la manifestation scientifique :
2019-06-02
Mot(s)-clé(s) en anglais :
generalized vehicle routing problem
time windows
set covering
time windows
set covering
Discipline(s) HAL :
Informatique [cs]
Computer Science [cs]/Operations Research [math.OC]
Computer Science [cs]/Operations Research [math.OC]
Résumé en anglais : [en]
Global e-commerce sales are estimated to hit $4.5 trillion in 2021. This poses huge challenges forlast mile delivery services. Currently deliveries are performed at customer?s home/workplacewhere customers wait to get ...
Lire la suite >Global e-commerce sales are estimated to hit $4.5 trillion in 2021. This poses huge challenges forlast mile delivery services. Currently deliveries are performed at customer?s home/workplacewhere customers wait to get orders. Recently, companies developed locker delivery. Customerschoose a nearby locker as their pickup location for orders. In the past two years, trunk de-livery has been proposed: orders can be delivered to the trunks of cars. Trunk delivery isdifferent from the former two since the car may be in different locations during the day. Thus,synchronization between cars and couriers is required to perform the delivery.This work studies a last-mile system that combines home/workplace, locker and trunk deliv-ery services. We call the resulting problem the generalized vehicle routing problem with timewindows (GVRPTW).We describe the GVRPTW with a set covering model. The solution is obtained by solvingthis model on a restricted route pool, subset of all feasible routes. The route pool is first filledusing construction heuristic: first pivots customers are selected, then next inserted customersare selected based on a regret paradigm. Finally routes are re-optimized with a labelingalgorithm. The route pool is iteratively enriched 1) with routes obtained by exploiting thedual information retrieved by the resolution of the linear relaxation of the set covering model;2) with new routes obtained by intensification of the research around feasible solutions via alocal search procedure.The algorithm is tested on benchmark instances from the literature.Lire moins >
Lire la suite >Global e-commerce sales are estimated to hit $4.5 trillion in 2021. This poses huge challenges forlast mile delivery services. Currently deliveries are performed at customer?s home/workplacewhere customers wait to get orders. Recently, companies developed locker delivery. Customerschoose a nearby locker as their pickup location for orders. In the past two years, trunk de-livery has been proposed: orders can be delivered to the trunks of cars. Trunk delivery isdifferent from the former two since the car may be in different locations during the day. Thus,synchronization between cars and couriers is required to perform the delivery.This work studies a last-mile system that combines home/workplace, locker and trunk deliv-ery services. We call the resulting problem the generalized vehicle routing problem with timewindows (GVRPTW).We describe the GVRPTW with a set covering model. The solution is obtained by solvingthis model on a restricted route pool, subset of all feasible routes. The route pool is first filledusing construction heuristic: first pivots customers are selected, then next inserted customersare selected based on a regret paradigm. Finally routes are re-optimized with a labelingalgorithm. The route pool is iteratively enriched 1) with routes obtained by exploiting thedual information retrieved by the resolution of the linear relaxation of the set covering model;2) with new routes obtained by intensification of the research around feasible solutions via alocal search procedure.The algorithm is tested on benchmark instances from the literature.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :