• English
    • français
  • Aide
  •  | 
  • Contact
  •  | 
  • À Propos
  •  | 
  • Ouvrir une session
  • Portail HAL
  •  | 
  • Pages Pro Chercheurs
  • EN
  •  / 
  • FR
Voir le document 
  •   Accueil de LillOA
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • Voir le document
  •   Accueil de LillOA
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • Voir le document
JavaScript is disabled for your browser. Some features of this site may not work without it.

Sequential approaches to solve a multi-commodity ...
  • BibTeX
  • CSV
  • Excel
  • RIS

Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Titre :
Sequential approaches to solve a multi-commodity transportation planning problem
Auteur(s) :
Gu, Wenjuan [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Archetti, Claudia [Auteur]
University of Brescia
Cattaruzza, Diego [Auteur] refId
Integrated Optimization with Complex Structure [INOCS]
Ogier, Maxime [Auteur] refId
Integrated Optimization with Complex Structure [INOCS]
SEMET, Frédéric [Auteur] refId
Integrated Optimization with Complex Structure [INOCS]
Speranza, Maria Grazia [Auteur]
University of Brescia
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 :
2019-06-03
Mot(s)-clé(s) en anglais :
multicommodity
routing problem
collection
delivery
supply chain
sequential solving
Discipline(s) HAL :
Informatique [cs]/Recherche opérationnelle [cs.RO]
Résumé en anglais : [en]
We address a transportation planning problem with three sets of stakeholders : suppliers, distribution centers and customers. Different commodities have to be sent from suppliers to customers, using multiple distribution ...
Lire la suite >
We address a transportation planning problem with three sets of stakeholders : suppliers, distribution centers and customers. Different commodities have to be sent from suppliers to customers, using multiple distribution centers for consolidation. Commodities are compatible and can be mixed inside the vehicles as long as the vehicle capacity is respected. Multiple visits to a customer are allowed to reduce transportation costs. However, a single commodity has to be delivered at once for the convenience of customers. The operations are as follows : suppliers transport commodities to distribution centers with direct trips, while a fleet of homogeneous vehicles distributes commodities to customers. The problem concerns both collection and delivery operations. However, the objective is to optimize these two operations jointly. Note that collection decisions (which quantity of each commodity is delivered to which center) impact delivery operations. Thus, collection and delivery must be determined jointly. In order to solve the whole problem, we consider two sequential solution approaches : first collection then delivery or first delivery then collection. In both cases, the solution of the first subproblem determines the quantity of each commodity that is required at each distribution center. The second subproblem takes this information and deals with delivery or collection accordingly. To solve the first subproblem, we propose several strategies in order to take into account the impact on the second subproblem. A case study on a fresh local vegetable supply chain is studied. Results will be presented and analyzed for two types of clients : school catering and supermarkets.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Fichiers
Thumbnail
  • https://hal.archives-ouvertes.fr/hal-02318115/file/VeRoLog_2019_Wenjuan.pdf
  • Accès libre
  • Accéder au document
Thumbnail
  • VeRoLog_2019_Wenjuan.pdf
  • Accès libre
  • Accéder au document
Université de Lille

Mentions légales
Université de Lille © 2017