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A Queuing Framework for Routing Problems with Time-dependent Travel Times

Author

Listed:
  • Laoucine Kerbache

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • T. van Woensel
  • H. Peremans
  • N. Vandaele

Abstract

Transportation is an important component of supply chain competitiveness since it plays a major role in the inbound, inter-facility, and outbound logistics. In this context, assigning and scheduling vehicle routing is a crucial management problem. Despite the existence of numerous publications dealing with efficient scheduling methods for vehicle routing, very few address the inherent stochastic nature of this problem. In this paper, a novel framework for modelling routing problems with time-dependent travel times due to potential traffic congestion is considered. The approach developed introduces mainly the traffic congestion component modelled through a queueing mode!. Standard test problems are used for illustrative purposes as well as for a discussion on the feasibility of proposed solutions if travel times are not constant

Suggested Citation

  • Laoucine Kerbache & T. van Woensel & H. Peremans & N. Vandaele, 2007. "A Queuing Framework for Routing Problems with Time-dependent Travel Times," Post-Print halshs-00170625, HAL.
    • Handle: RePEc:hal:journl:halshs-00170625
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    Cited by:

    1. Jorge Oyola & Halvard Arntzen & David L. Woodruff, 2018. "The stochastic vehicle routing problem, a literature review, part I: models," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 193-221, September.
    2. Anke Stieber & Armin Fügenschuh, 2022. "Dealing with time in the multiple traveling salespersons problem with moving targets," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 991-1017, September.

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