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An Adaptive Large Neighborhood Search for the Pickup and Delivery Problem with Transfers

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  • Renaud Masson

    (LUNAM Université, École des Mines de Nantes, IRCCyN UMR CNRS 6597, F-44307 Nantes cedex 3, France)

  • Fabien Lehuédé

    (LUNAM Université, École des Mines de Nantes, IRCCyN UMR CNRS 6597, F-44307 Nantes cedex 3, France)

  • Olivier Péton

    (LUNAM Université, École des Mines de Nantes, IRCCyN UMR CNRS 6597, F-44307 Nantes cedex 3, France)

Abstract

The pickup and delivery problem (PDP) consists in defining a set of routes that satisfy transportation requests between a set of pickup points and a set of delivery points. This paper addresses a variant of the PDP where requests can change vehicle during their trip. The transfer is made at specific locations called “transfer points.” The corresponding problem is called the pickup and delivery problem with transfers (PDPT). Solving the PDPT leads to new modeling and algorithmic difficulties. We propose new heuristics capable of efficiently inserting requests through transfer points. These heuristics are embedded into an adaptive large neighborhood search. We evaluate the method on generated instances and apply it to the transportation of people with disabilities. On these real-life instances we show that the introduction of transfer points can bring significant improvements (up to 9%) to the value of the objective function.

Suggested Citation

  • Renaud Masson & Fabien Lehuédé & Olivier Péton, 2013. "An Adaptive Large Neighborhood Search for the Pickup and Delivery Problem with Transfers," Transportation Science, INFORMS, vol. 47(3), pages 344-355, August.
  • Handle: RePEc:inm:ortrsc:v:47:y:2013:i:3:p:344-355
    DOI: 10.1287/trsc.1120.0432
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    References listed on IDEAS

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    1. David Pisinger & Stefan Ropke, 2010. "Large Neighborhood Search," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, chapter 0, pages 399-419, Springer.
    2. Stefan Ropke & David Pisinger, 2006. "An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows," Transportation Science, INFORMS, vol. 40(4), pages 455-472, November.
    3. Stefan Ropke & Jean-François Cordeau, 2009. "Branch and Cut and Price for the Pickup and Delivery Problem with Time Windows," Transportation Science, INFORMS, vol. 43(3), pages 267-286, August.
    4. Berbeglia, Gerardo & Cordeau, Jean-François & Laporte, Gilbert, 2010. "Dynamic pickup and delivery problems," European Journal of Operational Research, Elsevier, vol. 202(1), pages 8-15, April.
    5. Cortés, Cristián E. & Matamala, Martín & Contardo, Claudio, 2010. "The pickup and delivery problem with transfers: Formulation and a branch-and-cut solution method," European Journal of Operational Research, Elsevier, vol. 200(3), pages 711-724, February.
    6. Gerardo Berbeglia & Jean-François Cordeau & Irina Gribkovskaia & Gilbert Laporte, 2007. "Rejoinder on: Static pickup and delivery problems: a classification scheme and survey," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 45-47, July.
    7. Sophie D. Lapierre & Angel B. Ruiz & Patrick Soriano, 2004. "Designing Distribution Networks: Formulations and Solution Heuristic," Transportation Science, INFORMS, vol. 38(2), pages 174-187, May.
    8. H.L.M. Kerivin & M. Lacroix & A.R. Mahjoub & A. Quilliot, 2008. "The splittable pickup and delivery problem with reloads," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 2(2), pages 112-133.
    9. Potvin, Jean-Yves & Rousseau, Jean-Marc, 1993. "A parallel route building algorithm for the vehicle routing and scheduling problem with time windows," European Journal of Operational Research, Elsevier, vol. 66(3), pages 331-340, May.
    10. Sam Thangiah & Adel Fergany & Salman Awan, 2007. "Real-time split-delivery pickup and delivery time window problems with transfers," 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. 15(4), pages 329-349, November.
    11. Gerardo Berbeglia & Jean-François Cordeau & Irina Gribkovskaia & Gilbert Laporte, 2007. "Static pickup and delivery problems: a classification scheme and survey," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 1-31, July.
    12. Gilbert Laporte & Roberto Musmanno & Francesca Vocaturo, 2010. "An Adaptive Large Neighbourhood Search Heuristic for the Capacitated Arc-Routing Problem with Stochastic Demands," Transportation Science, INFORMS, vol. 44(1), pages 125-135, February.
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