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Adaptation of some vehicle fleet mix heuristics

Author

Listed:
  • Salhi, S
  • Sari, M
  • Saidi, D
  • Touati, Nac

Abstract

Standard models used for the combined vehicle routing and vehicle fleet composition problem use the same value for the unit running cost across vehicles. In practice such a parameter depends on several factors and particularly on the capacity of the vehicle. The purpose of this paper is to show simple modifications of some well known methods to allow for variable running costs; and also to assess the effect of neglecting such variability. Interesting numerical results, measured in terms of changes in total cost or/and fleet configuration, are found at no extra computational effort.

Suggested Citation

  • Salhi, S & Sari, M & Saidi, D & Touati, Nac, 1992. "Adaptation of some vehicle fleet mix heuristics," Omega, Elsevier, vol. 20(5-6), pages 653-660.
  • Handle: RePEc:eee:jomega:v:20:y:1992:i:5-6:p:653-660
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    Citations

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    Cited by:

    1. Nagy, Gabor & Salhi, Said, 2005. "Heuristic algorithms for single and multiple depot vehicle routing problems with pickups and deliveries," European Journal of Operational Research, Elsevier, vol. 162(1), pages 126-141, April.
    2. Day, Jamison M. & Daniel Wright, P. & Schoenherr, Tobias & Venkataramanan, Munirpallam & Gaudette, Kevin, 2009. "Improving routing and scheduling decisions at a distributor of industrial gasses," Omega, Elsevier, vol. 37(1), pages 227-237, February.
    3. Salhi, Said & Wassan, Niaz & Hajarat, Mutaz, 2013. "The Fleet Size and Mix Vehicle Routing Problem with Backhauls: Formulation and Set Partitioning-based Heuristics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 22-35.
    4. Renaud, Jacques & Boctor, Fayez F., 2002. "A sweep-based algorithm for the fleet size and mix vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 140(3), pages 618-628, August.
    5. Koç, Çağrı & Bektaş, Tolga & Jabali, Ola & Laporte, Gilbert, 2016. "Thirty years of heterogeneous vehicle routing," European Journal of Operational Research, Elsevier, vol. 249(1), pages 1-21.
    6. Imran, Arif & Salhi, Said & Wassan, Niaz A., 2009. "A variable neighborhood-based heuristic for the heterogeneous fleet vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 197(2), pages 509-518, September.
    7. Du, Jia Yan & Brunner, Jens O. & Kolisch, Rainer, 2016. "Obtaining the optimal fleet mix: A case study about towing tractors at airports," Omega, Elsevier, vol. 64(C), pages 102-114.
    8. Salhi, S. & Sari, M., 1997. "A multi-level composite heuristic for the multi-depot vehicle fleet mix problem," European Journal of Operational Research, Elsevier, vol. 103(1), pages 95-112, November.

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