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A parallel clustering technique for the vehicle routing problem with split deliveries and pickups

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  • S Mitra

    (Indian Institute of Management Calcutta)

Abstract

In this paper, a parallel clustering technique and route construction heuristic have been developed for the vehicle routing problem (VRP) with split deliveries and pickups. An MILP formulation for determining the exact solution to the problem has also been included. It has been shown through extensive experimentation that the algorithm proposed in this paper statistically produces better results than the only heuristic existing for this class of problems in literature. We also form a basis of comparison between this class of problems and the VRP with simultaneous deliveries and pickups. We note that while heuristics for simultaneous deliveries and pickups cannot be applied in situations where customers' delivery or pickup demands exceed the vehicle capacity, heuristics allowing split deliveries and pickups can, in fact, be applied in every situation, even producing superior results under the combined objective of minimization of the fixed charge and mileage associated with vehicle routes. A guideline as to which heuristic could be used under what parametric conditions and objective functions, has also been provided.

Suggested Citation

  • S Mitra, 2008. "A parallel clustering technique for the vehicle routing problem with split deliveries and pickups," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(11), pages 1532-1546, November.
  • Handle: RePEc:pal:jorsoc:v:59:y:2008:i:11:d:10.1057_palgrave.jors.2602500
    DOI: 10.1057/palgrave.jors.2602500
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    References listed on IDEAS

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    Cited by:

    1. Gábor Nagy & Niaz A. Wassan & M. Grazia Speranza & Claudia Archetti, 2015. "The Vehicle Routing Problem with Divisible Deliveries and Pickups," Transportation Science, INFORMS, vol. 49(2), pages 271-294, May.
    2. Angel Juan & Javier Faulin & Josep Jorba & Jose Caceres & Joan Marquès, 2013. "Using parallel & distributed computing for real-time solving of vehicle routing problems with stochastic demands," Annals of Operations Research, Springer, vol. 207(1), pages 43-65, August.
    3. Lai, Michela & Crainic, Teodor Gabriel & Di Francesco, Massimo & Zuddas, Paola, 2013. "An heuristic search for the routing of heterogeneous trucks with single and double container loads," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 108-118.
    4. Fazi, Stefano & Fransoo, Jan C. & Van Woensel, Tom & Dong, Jing-Xin, 2020. "A variant of the split vehicle routing problem with simultaneous deliveries and pickups for inland container shipping in dry-port based systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    5. Qiuping Ni & Yuanxiang Tang, 2023. "A Bibliometric Visualized Analysis and Classification of Vehicle Routing Problem Research," Sustainability, MDPI, vol. 15(9), pages 1-37, April.
    6. Santos, Maria João & Jorge, Diana & Ramos, Tânia & Barbosa-Póvoa, Ana, 2023. "Green reverse logistics: Exploring the vehicle routing problem with deliveries and pickups," Omega, Elsevier, vol. 118(C).

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