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A cluster-first route-second approach for the swap body vehicle routing problem

Author

Listed:
  • Juan José Miranda-Bront

    (Universidad de Buenos Aires
    Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET))

  • Brian Curcio

    (Universidad de Buenos Aires
    Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET))

  • Isabel Méndez-Díaz

    (Universidad de Buenos Aires)

  • Agustín Montero

    (Universidad de Buenos Aires
    Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET))

  • Federico Pousa

    (Universidad de Buenos Aires
    Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET))

  • Paula Zabala

    (Universidad de Buenos Aires
    Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET))

Abstract

The swap body vehicle routing problem (SB-VRP) is a generalization of the classical vehicle routing problem where a particular structure as well as several operational aspects for the trucks composing the fleet are considered. This research has been motivated by the VeRoLog Solver Challenge 2014, organized together by VeRoLog and PTV group, aiming to motivate the study of real-world logistic problems. A truck can carry either only one swap body or, in addition, an extra trailer with an extra swap body. For the latter, special depots, called swap locations, can be used to drop and pickup the swap bodies. These operations may affect the feasibility and the cost of a route, and therefore the overall operational cost. In this paper, we propose a cluster-first route-second heuristic for the SB-VRP. Computational experiments are conducted over the benchmark instances proposed for the competition, simulating a practical environment by considering limited resources and execution time. The results obtained are of very good quality, where our approach ended as runner-up in the final set of instances and performs similarly to the other algorithms in the remaining cases, showing its potential to be applied in practice.

Suggested Citation

  • Juan José Miranda-Bront & Brian Curcio & Isabel Méndez-Díaz & Agustín Montero & Federico Pousa & Paula Zabala, 2017. "A cluster-first route-second approach for the swap body vehicle routing problem," Annals of Operations Research, Springer, vol. 253(2), pages 935-956, June.
    • Handle: RePEc:spr:annopr:v:253:y:2017:i:2:d:10.1007_s10479-016-2233-1
    DOI: 10.1007/s10479-016-2233-1
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    References listed on IDEAS

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    1. Gerdessen, Johanna C., 1996. "Vehicle routing problem with trailers," European Journal of Operational Research, Elsevier, vol. 93(1), pages 135-147, August.
    2. M Caramia & F Guerriero, 2010. "A heuristic approach for the truck and trailer routing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(7), pages 1168-1180, July.
    3. Drexl, Michael, 2013. "Applications of the vehicle routing problem with trailers and transshipments," European Journal of Operational Research, Elsevier, vol. 227(2), pages 275-283.
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    5. Tan, K.C. & Chew, Y.H. & Lee, L.H., 2006. "A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 172(3), pages 855-885, August.
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    Cited by:

    1. Sandra Huber & Jean-François Cordeau & Martin Josef Geiger, 2020. "A matheuristic for the swap body vehicle routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 111-160, March.
    2. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.
    3. Tsang, Man Yiu & Shehadeh, Karmel S., 2023. "Stochastic optimization models for a home service routing and appointment scheduling problem with random travel and service times," European Journal of Operational Research, Elsevier, vol. 307(1), pages 48-63.
    4. Kishore Bhoopalam, A. & Agatz, N.A.H. & Zuidwijk, R.A., 2017. "Planning of Truck Platoons: a Literature Review and Directions for Future Research," ERIM Report Series Research in Management ERS-2017-010-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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