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An adaptive large neighborhood search for a vehicle routing problem with multiple trips and driver shifts
Arda, Yasemin; Crama, Yves; François, Véronique
2013ROADEF 2013 - 14e Congrès Annuel de la Société Française de Recherche Opérationnelle at d'Aide à la Décision
Editorial reviewed
 

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Keywords :
vehicle routing; multiple trips; driver shifts; large neighborhood search; variable neighborhood search
Abstract :
[en] This study analyzes a rich vehicle routing problem with multiple trips and driver shifts. The considered problem features are inspired from the practical case of a Belgian distribution company. Along with the multi-trip component, characteristics of this particular problem include time windows, pickup and delivery customers, and site-vehicle dependencies. Internal and external fleets are considered with different cost structures and driver shifts constraints. An adpative large neighborhood search is used to treat the problem.
Research center :
Center for Quantitative Methods and Operations Management
Disciplines :
Production, distribution & supply chain management
Author, co-author :
Arda, Yasemin  ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > UER Opérations : Supply Chain Management
Crama, Yves  ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > Recherche opérationnelle et gestion de la production
François, Véronique ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > UER Opérations : Supply Chain Management
Language :
English
Title :
An adaptive large neighborhood search for a vehicle routing problem with multiple trips and driver shifts
Publication date :
13 February 2013
Event name :
ROADEF 2013 - 14e Congrès Annuel de la Société Française de Recherche Opérationnelle at d'Aide à la Décision
Event organizer :
Université de Technologie de Troyes
Event place :
Troyes, France
Event date :
13-14-15 février 2013
Peer reviewed :
Editorial reviewed
Name of the research project :
START-POCAT
Available on ORBi :
since 25 February 2013

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