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A rolling horizon algorithm for auto-carrier transportation

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  • Cordeau, Jean-François
  • Dell’Amico, Mauro
  • Falavigna, Simone
  • Iori, Manuel

Abstract

This paper introduces a rolling horizon algorithm to plan the delivery of vehicles to automotive dealers by a heterogeneous fleet of auto-carriers. The problem consists in scheduling the deliveries over a multiple-day planning horizon during which requests for transportation arrive dynamically. In addition, the routing of the auto-carriers must take into account constraints related to the loading of the vehicles on the carriers. The objective is to minimize the sum of traveled distances, fixed costs for auto-carrier operation, service costs, and penalties for late deliveries. The problem is solved by a heuristic that first selects the vehicles to be delivered in the next few days and then optimizes the deliveries by an iterated local search procedure. A branch-and-bound search is used to check the feasibility of the loading. To handle the dynamic nature of the problem, the complete algorithm is applied repeatedly in a rolling horizon framework. Computational results on data from a major European logistics service provider show that the heuristic is fast and yields significant improvements compared to the sequential solution of independent daily problems.

Suggested Citation

  • Cordeau, Jean-François & Dell’Amico, Mauro & Falavigna, Simone & Iori, Manuel, 2015. "A rolling horizon algorithm for auto-carrier transportation," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 68-80.
    • Handle: RePEc:eee:transb:v:76:y:2015:i:c:p:68-80
    DOI: 10.1016/j.trb.2015.02.009
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    References listed on IDEAS

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    1. Francis, Peter & Smilowitz, Karen, 2006. "Modeling techniques for periodic vehicle routing problems," Transportation Research Part B: Methodological, Elsevier, vol. 40(10), pages 872-884, December.
    2. Helena R. Lourenço & Olivier C. Martin & Thomas Stützle, 2010. "Iterated Local Search: Framework and Applications," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, chapter 0, pages 363-397, Springer.
    3. Manuel Iori & Silvano Martello, 2010. "Routing problems with loading constraints," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 4-27, July.
    4. R. Tadei & G. Perboli & F. Della Croce, 2002. "A Heuristic Algorithm for the Auto-Carrier Transportation Problem," Transportation Science, INFORMS, vol. 36(1), pages 55-62, February.
    5. Patrick Jaillet & Jonathan F. Bard & Liu Huang & Moshe Dror, 2002. "Delivery Cost Approximations for Inventory Routing Problems in a Rolling Horizon Framework," Transportation Science, INFORMS, vol. 36(3), pages 292-300, August.
    6. Gerald Y. Agbegha & Ronald H. Ballou & Kamlesh Mathur, 1998. "Optimizing Auto-Carrier Loading," Transportation Science, INFORMS, vol. 32(2), pages 174-188, May.
    7. Pillac, Victor & Gendreau, Michel & Guéret, Christelle & Medaglia, Andrés L., 2013. "A review of dynamic vehicle routing problems," European Journal of Operational Research, Elsevier, vol. 225(1), pages 1-11.
    8. Mitrovic-Minic, Snezana & Krishnamurti, Ramesh & Laporte, Gilbert, 2004. "Double-horizon based heuristics for the dynamic pickup and delivery problem with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 38(8), pages 669-685, September.
    9. Manuel Iori & Silvano Martello, 2010. "Rejoinder on: Routing problems with loading constraints," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 41-42, July.
    10. Mingzhou Jin & Sandra Eksioglu & Burak Eksioglu & Haiyuan Wang, 2010. "Mode Selection for Automotive Distribution with Quantity Discounts," Networks and Spatial Economics, Springer, vol. 10(1), pages 1-13, March.
    11. Jonathan F. Bard & Liu Huang & Patrick Jaillet & Moshe Dror, 1998. "A Decomposition Approach to the Inventory Routing Problem with Satellite Facilities," Transportation Science, INFORMS, vol. 32(2), pages 189-203, May.
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    6. Anirudh Subramanyam & Frank Mufalli & José M. Lí?nez-Aguirre & Jose M. Pinto & Chrysanthos E. Gounaris, 2021. "Robust Multiperiod Vehicle Routing Under Customer Order Uncertainty," Operations Research, INFORMS, vol. 69(1), pages 30-60, January.
    7. Hu, Wuhua & Mao, Jianfeng & Wei, Keji, 2017. "Energy-efficient rail guided vehicle routing for two-sided loading/unloading automated freight handling system," European Journal of Operational Research, Elsevier, vol. 258(3), pages 943-957.
    8. Chen, Feng & Wang, Yu, 2020. "Downward compatible loading optimization with inter-set cost in automobile outbound logistics," European Journal of Operational Research, Elsevier, vol. 287(1), pages 106-118.
    9. Vélez-Gallego, Mario C. & Teran-Somohano, Alejandro & Smith, Alice E., 2020. "Minimizing late deliveries in a truck loading problem," European Journal of Operational Research, Elsevier, vol. 286(3), pages 919-928.
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    11. Christian Billing & Florian Jaehn & Thomas Wensing, 2018. "A multiperiod auto-carrier transportation problem with probabilistic future demands," Journal of Business Economics, Springer, vol. 88(7), pages 1009-1028, September.
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