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Optimizing yard assignment in an automotive transshipment terminal

Author

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  • Cordeau, Jean-François
  • Laporte, Gilbert
  • Moccia, Luigi
  • Sorrentino, Gregorio

Abstract

This paper studies a yard management problem in an automotive transshipment terminal. Groups of cars arrive to and depart from the terminal in a given planning period. These groups must be assigned to parking rows under some constraints resulting from managerial rules. The main objective is the minimization of the total handling time. Model extensions to handle application specific issues such as a rolling horizon and a manpower leveling objective are also discussed. The main features of the problem are modeled as an integer linear program. However, solving this formulation by a state-of-the-art solver is impractical. In view of this, we develop a metaheuristic algorithm based on the adaptive large neighborhood search framework. Computational results on real-life data show the efficacy of the proposed metaheuristic algorithm.

Suggested Citation

  • Cordeau, Jean-François & Laporte, Gilbert & Moccia, Luigi & Sorrentino, Gregorio, 2011. "Optimizing yard assignment in an automotive transshipment terminal," European Journal of Operational Research, Elsevier, vol. 215(1), pages 149-160, November.
  • Handle: RePEc:eee:ejores:v:215:y:2011:i:1:p:149-160
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    References listed on IDEAS

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    Cited by:

    1. Michael Görges & Michael Freitag, 2022. "Design and Evaluation of an Integrated Autonomous Control Method for Automobile Terminals," Logistics, MDPI, vol. 6(4), pages 1-27, October.
    2. Zhang, Di & Chen, Feng & Mei, Ziqiao, 2023. "Optimization on joint scheduling of yard allocation and transfer manpower assignment for automobile RO-RO terminal," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    3. Jiang, Xinjia & Lee, Loo Hay & Chew, Ek Peng & Han, Yongbin & Tan, Kok Choon, 2012. "A container yard storage strategy for improving land utilization and operation efficiency in a transshipment hub port," European Journal of Operational Research, Elsevier, vol. 221(1), pages 64-73.
    4. Wang, Yu & Chen, Feng & Chen, Zhi-Long, 2018. "Pickup and delivery of automobiles from warehouses to dealers," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 412-430.
    5. Chen, Xiaojing & Li, Feng & Jia, Bin & Wu, Jianjun & Gao, Ziyou & Liu, Ronghui, 2021. "Optimizing storage location assignment in an automotive Ro-Ro terminal," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 249-281.
    6. Jone R. Hansen & Kjetil Fagerholt & Magnus Stålhane & Jørgen G. Rakke, 2020. "An adaptive large neighborhood search heuristic for the planar storage location assignment problem: application to stowage planning for Roll-on Roll-off ships," Journal of Heuristics, Springer, vol. 26(6), pages 885-912, December.
    7. H. L. Ma & S. H. Chung & H. K. Chan & Li Cui, 2019. "An integrated model for berth and yard planning in container terminals with multi-continuous berth layout," Annals of Operations Research, Springer, vol. 273(1), pages 409-431, February.
    8. Gharehgozli, Amir & Zaerpour, Nima, 2018. "Stacking outbound barge containers in an automated deep-sea terminal," European Journal of Operational Research, Elsevier, vol. 267(3), pages 977-995.
    9. Wang, Kai & Pesch, Erwin & Kress, Dominik & Fridman, Ilia & Boysen, Nils, 2022. "The Piggyback Transportation Problem: Transporting drones launched from a flying warehouse," European Journal of Operational Research, Elsevier, vol. 296(2), pages 504-519.
    10. Emil Karlsson & Elina Rönnberg & Andreas Stenberg & Hannes Uppman, 2021. "A matheuristic approach to large-scale avionic scheduling," Annals of Operations Research, Springer, vol. 302(2), pages 425-459, July.
    11. Iris, Çağatay & Pacino, Dario & Ropke, Stefan, 2017. "Improved formulations and an Adaptive Large Neighborhood Search heuristic for the integrated berth allocation and quay crane assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 123-147.
    12. Görges, Michael & Freitag, Michael, 2019. "Modeling autonomously controlled automobile terminal processes," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics, volume 28, pages 186-214, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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