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A tabu search heuristic for the split delivery vehicle routing problem with production and demand calendars

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  • Bolduc, Marie-Claude
  • Laporte, Gilbert
  • Renaud, Jacques
  • Boctor, Fayez F.

Abstract

The purpose of this article is to propose a tabu search heuristic for the split delivery Vehicle Routing Problem with Production and Demand Calendars (VRPPDC). This new problem consists of determining which customers will be served by a common carrier, as well as the delivery routes for those served by the private fleet, in order to minimize the overall transportation and inventory costs. We first model this problem and then propose a simple decomposition procedure that can be used to provide a starting solution. Next, we introduce a new tabu search heuristic and we describe two new neighbor reduction strategies. Finally, we present the results of our extensive computational tests. According to these tests, our reduction strategies are efficient not only at reducing computing time but also at improving the overall solution quality.

Suggested Citation

  • Bolduc, Marie-Claude & Laporte, Gilbert & Renaud, Jacques & Boctor, Fayez F., 2010. "A tabu search heuristic for the split delivery vehicle routing problem with production and demand calendars," European Journal of Operational Research, Elsevier, vol. 202(1), pages 122-130, April.
    • Handle: RePEc:eee:ejores:v:202:y:2010:i:1:p:122-130
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    References listed on IDEAS

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    1. Michel Gendreau & Alain Hertz & Gilbert Laporte, 1994. "A Tabu Search Heuristic for the Vehicle Routing Problem," Management Science, INFORMS, vol. 40(10), pages 1276-1290, October.
    2. Zhao, Qiu-Hong & Chen, Shuang & Zang, Cun-Xun, 2008. "Model and algorithm for inventory/routing decision in a three-echelon logistics system," European Journal of Operational Research, Elsevier, vol. 191(3), pages 623-635, December.
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    7. Bolduc, Marie-Claude & Renaud, Jacques & Boctor, Fayez, 2007. "A heuristic for the routing and carrier selection problem," European Journal of Operational Research, Elsevier, vol. 183(2), pages 926-932, December.
    8. C.D. Tarantilis & C.T. Kiranoudis, 2002. "BoneRoute: An Adaptive Memory-Based Method for Effective Fleet Management," Annals of Operations Research, Springer, vol. 115(1), pages 227-241, September.
    9. M-C Bolduc & J Renaud & F Boctor & G Laporte, 2008. "A perturbation metaheuristic for the vehicle routing problem with private fleet and common carriers," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 776-787, June.
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    Cited by:

    1. Burcu B. Keskin & İbrahim Çapar & Charles R. Sox & Nickolas K. Freeman, 2014. "An Integrated Load-Planning Algorithm for Outbound Logistics at Webb Wheel," Interfaces, INFORMS, vol. 44(5), pages 480-497, October.
    2. Annelieke C. Baller & Said Dabia & Wout E. H. Dullaert & Daniele Vigo, 2020. "The Vehicle Routing Problem with Partial Outsourcing," Transportation Science, INFORMS, vol. 54(4), pages 1034-1052, July.
    3. Salani, Matteo & Vacca, Ilaria, 2011. "Branch and price for the vehicle routing problem with discrete split deliveries and time windows," European Journal of Operational Research, Elsevier, vol. 213(3), pages 470-477, September.
    4. Li, Jianxiang & Chu, Feng & Chen, Haoxun, 2011. "A solution approach to the inventory routing problem in a three-level distribution system," European Journal of Operational Research, Elsevier, vol. 210(3), pages 736-744, May.
    5. Archetti, Claudia & Doerner, Karl F. & Tricoire, Fabien, 2013. "A heuristic algorithm for the free newspaper delivery problem," European Journal of Operational Research, Elsevier, vol. 230(2), pages 245-257.

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