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The pickup and delivery traveling salesman problem with handling costs

Author

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  • Veenstra, Marjolein
  • Roodbergen, Kees Jan
  • Vis, Iris F.A.
  • Coelho, Leandro C.

Abstract

This paper introduces the pickup and delivery traveling salesman problem with handling costs (PDTSPH). In the PDTSPH, a single vehicle has to transport loads from origins to destinations. Loading and unloading of the vehicle is operated in a last-in-first-out (LIFO) fashion. However, if a load must be unloaded that was not loaded last, additional handling operations are allowed to unload and reload other loads that block access. Since the additional handling operations take time and effort, penalty costs are associated with them. The aim of the PDTSPH is to find a feasible route such that the total costs, consisting of travel costs and penalty costs, are minimized. We show that the PDTSPH is a generalization of the pickup and delivery traveling salesman problem (PDTSP) and the pickup and delivery traveling salesman problem with LIFO loading (PDTSPL). We propose a large neighborhood search (LNS) heuristic to solve the problem. We compare our LNS heuristic against best known solutions on 163 benchmark instances for the PDTSP and 42 benchmark instances for the PDTSPL. We provide new best known solutions on 52 instances for the PDTSP and on 15 instances for the PDTSPL, besides finding the optimal or best known solution on 102 instances for the PDTSP and on 23 instances for the PDTSPL. The LNS finds optimal or near-optimal solutions on instances for the PDTSPH. Results show that PDTSPH solutions provide large reductions in handling compared to PDTSP solutions, while increasing the travel distance by only a small percentage.

Suggested Citation

  • Veenstra, Marjolein & Roodbergen, Kees Jan & Vis, Iris F.A. & Coelho, Leandro C., 2017. "The pickup and delivery traveling salesman problem with handling costs," European Journal of Operational Research, Elsevier, vol. 257(1), pages 118-132.
    • Handle: RePEc:eee:ejores:v:257:y:2017:i:1:p:118-132
    DOI: 10.1016/j.ejor.2016.07.009
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    References listed on IDEAS

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    1. 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.
    2. Marilène Cherkesly & Guy Desaulniers & Gilbert Laporte, 2015. "Branch-Price-and-Cut Algorithms for the Pickup and Delivery Problem with Time Windows and Last-in-First-Out Loading," Transportation Science, INFORMS, vol. 49(4), pages 752-766, November.
    3. Savelsbergh, M. W. P., 1990. "An efficient implementation of local search algorithms for constrained routing problems," European Journal of Operational Research, Elsevier, vol. 47(1), pages 75-85, July.
    4. Maria Battarra & Güneş Erdoğan & Gilbert Laporte & Daniele Vigo, 2010. "The Traveling Salesman Problem with Pickups, Deliveries, and Handling Costs," Transportation Science, INFORMS, vol. 44(3), pages 383-399, August.
    5. Benavent, Enrique & Landete, Mercedes & Mota, Enrique & Tirado, Gregorio, 2015. "The multiple vehicle pickup and delivery problem with LIFO constraints," European Journal of Operational Research, Elsevier, vol. 243(3), pages 752-762.
    6. Li, Yongquan & Lim, Andrew & Oon, Wee-Chong & Qin, Hu & Tu, Dejian, 2011. "The tree representation for the pickup and delivery traveling salesman problem with LIFO loading," European Journal of Operational Research, Elsevier, vol. 212(3), pages 482-496, August.
    7. Francesco Carrabs & Jean-François Cordeau & Gilbert Laporte, 2007. "Variable Neighborhood Search for the Pickup and Delivery Traveling Salesman Problem with LIFO Loading," INFORMS Journal on Computing, INFORMS, vol. 19(4), pages 618-632, November.
    8. Healy, Patrick & Moll, Robert, 1995. "A new extension of local search applied to the Dial-A-Ride Problem," European Journal of Operational Research, Elsevier, vol. 83(1), pages 83-104, May.
    9. 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.
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    Cited by:

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