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On the integration of container availability constraints into daily drayage operations arising in France: Modelling and optimization

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  • Benantar, A.
  • Abourraja, M.N.
  • Boukachour, J.
  • Boudebous, D.
  • Duvallet, C.

Abstract

The paper discusses a containers’ drayage by trucks, which is motivated by a real-life application arising in the intermodal freight transportation. This problem considers not only classical assumptions of the intermodal transportation, but also introduces the availability of containers as a new concept. For this purpose, we first describe the industrial context and provide the mathematical optimization model which combines a set of known and new constraints. We then propose a solution approach based on variable neighborhood search algorithm combined with pairing and insertion heuristics, as well as with variable neighborhood descent and tabu search methods. Optimization has then been embedded into a simulation model which designs the rail/road terminal. To be more specific, this optimization model can be used to evaluate several distribution policies, which results in a set of routing decisions and can adopt the best policy in a distribution network with competing rail and road transport services. Finally, we test the proposed model on real and generated instances characterizing several scenarios to highlight the performance and efficiency of our approach.

Suggested Citation

  • Benantar, A. & Abourraja, M.N. & Boukachour, J. & Boudebous, D. & Duvallet, C., 2020. "On the integration of container availability constraints into daily drayage operations arising in France: Modelling and optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    • Handle: RePEc:eee:transe:v:140:y:2020:i:c:s1366554520306207
    DOI: 10.1016/j.tre.2020.101969
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    1. Namboothiri, Rajeev & Erera, Alan L., 2008. "Planning local container drayage operations given a port access appointment system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(2), pages 185-202, March.
    2. Wang, Xiubin & Regan, Amelia C., 2002. "Local truckload pickup and delivery with hard time window constraints," Transportation Research Part B: Methodological, Elsevier, vol. 36(2), pages 97-112, February.
    3. Xue, Zhaojie & Zhang, Canrong & Lin, Wei-Hua & Miao, Lixin & Yang, Peng, 2014. "A tabu search heuristic for the local container drayage problem under a new operation mode," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 136-150.
    4. Imai, Akio & Nishimura, Etsuko & Current, John, 2007. "A Lagrangian relaxation-based heuristic for the vehicle routing with full container load," European Journal of Operational Research, Elsevier, vol. 176(1), pages 87-105, January.
    5. Lai, Michela & Crainic, Teodor Gabriel & Di Francesco, Massimo & Zuddas, Paola, 2013. "An heuristic search for the routing of heterogeneous trucks with single and double container loads," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 108-118.
    6. Zhang, Ruiyou & Yun, Won Young & Moon, Ilkyeong, 2009. "A reactive tabu search algorithm for the multi-depot container truck transportation problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(6), pages 904-914, November.
    7. Cheung, Raymond K. & Shi, Ning & Powell, Warren B. & Simao, Hugo P., 2008. "An attribute-decision model for cross-border drayage problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(2), pages 217-234, March.
    8. Kalayci, Can B. & Kulak, Osman & Günther, Hans-Otto, 2015. "A perturbation based variable neighborhood search heuristic for solving the Vehicle Routing Problem with Simultaneous Pickup and Delivery with Time LimitAuthor-Name: Polat, Olcay," European Journal of Operational Research, Elsevier, vol. 242(2), pages 369-382.
    9. Jula, Hossein & Dessouky, Maged & Ioannou, Petros & Chassiakos, Anastasios, 2005. "Container movement by trucks in metropolitan networks: modeling and optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(3), pages 235-259, May.
    10. Schulte, Frederik & Lalla-Ruiz, Eduardo & González-Ramírez, Rosa G. & Voß, Stefan, 2017. "Reducing port-related empty truck emissions: A mathematical approach for truck appointments with collaboration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 195-212.
    11. López-Ibáñez, Manuel & Dubois-Lacoste, Jérémie & Pérez Cáceres, Leslie & Birattari, Mauro & Stützle, Thomas, 2016. "The irace package: Iterated racing for automatic algorithm configuration," Operations Research Perspectives, Elsevier, vol. 3(C), pages 43-58.
    12. Funke, Julia & Kopfer, Herbert, 2016. "A model for a multi-size inland container transportation problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 70-85.
    13. Francis, Peter & Zhang, Guangming & Smilowitz, Karen, 2007. "Improved modeling and solution methods for the multi-resource routing problem," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1045-1059, August.
    14. Macharis, C. & Bontekoning, Y. M., 2004. "Opportunities for OR in intermodal freight transport research: A review," European Journal of Operational Research, Elsevier, vol. 153(2), pages 400-416, March.
    15. Zhang, Ruiyou & Lu, Jye-Chyi & Wang, Dingwei, 2014. "Container drayage problem with flexible orders and its near real-time solution strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 235-251.
    16. Zhang, Ruiyou & Yun, Won Young & Moon, Il Kyeong, 2011. "Modeling and optimization of a container drayage problem with resource constraints," International Journal of Production Economics, Elsevier, vol. 133(1), pages 351-359, September.
    17. Yetkin Ileri & Mokhtar Bazaraa & Ted Gifford & George Nemhauser & Joel Sokol & Erick Wikum, 2006. "An optimization approach for planning daily drayage operations," 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. 14(2), pages 141-156, June.
    18. Wang, Wen Fei & Yun, Won Young, 2013. "Scheduling for inland container truck and train transportation," International Journal of Production Economics, Elsevier, vol. 143(2), pages 349-356.
    19. Imran, Arif & Salhi, Said & Wassan, Niaz A., 2009. "A variable neighborhood-based heuristic for the heterogeneous fleet vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 197(2), pages 509-518, September.
    20. Song, Yujian & Zhang, Jiantong & Liang, Zhe & Ye, Chunming, 2017. "An exact algorithm for the container drayage problem under a separation mode," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 231-254.
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    Cited by:

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    2. Fazi, Stefano & Choudhary, Sourabh Kumar & Dong, Jing-Xin, 2023. "The multi-trip container drayage problem with synchronization for efficient empty containers re-usage," European Journal of Operational Research, Elsevier, vol. 310(1), pages 343-359.
    3. Snežana Tadić & Milovan Kovač & Mladen Krstić & Violeta Roso & Nikolina Brnjac, 2021. "The Selection of Intermodal Transport System Scenarios in the Function of Southeastern Europe Regional Development," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    4. Yan, Xiaoyuan & Xu, Min & Xie, Chi, 2023. "Local container drayage problem with improved truck platooning operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    5. El Yaagoubi, Amina & Ferjani, Aicha & Essaghir, Yasmina & Sheikhahmadi, Farrokh & Abourraja, Mohamed Nezar & Boukachour, Jaouad & Baron, Marie-Laure & Duvallet, Claude & Khodadad-Saryazdi, Ali, 2022. "A logistic model for a french intermodal rail/road freight transportation system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    6. Chen, Rui & Chen, Shukai & Cui, Haipeng & Meng, Qiang, 2021. "The container drayage problem for heterogeneous trucks with multiple loads: A revisit," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).

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