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Scheduling for inland container truck and train transportation

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  • Wang, Wen Fei
  • Yun, Won Young

Abstract

Inland container transportation refers to the container movements among customer locations, container terminals, and depots in a local area. In this paper, an Inland container transportation problem by truck and train is investigated. Containers are classified into four types according to the direction (inbound containers and outbound containers) and container state (full containers or empty containers). Containers can be delivered not only by truck but also by train and the time windows of containers are considered. A mathematical model is developed by a graph model and a hybrid tabu search is proposed. The performance of the proposed method to find near optimal solutions is investigated by numerical examples generated randomly.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:proeco:v:143:y:2013:i:2:p:349-356
    DOI: 10.1016/j.ijpe.2011.10.016
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    References listed on IDEAS

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    Cited by:

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    7. Lange, Ann-Kathrin & Nellen, Nicole & Jahn, Carlos, 2022. "Truck appointment systems: How can they be improved and what are their limits?," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 615-655, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    8. Bustos-Coral, Daniel & Costa, Alysson M., 2022. "Drayage routing with heterogeneous fleet, compatibility constraints, and truck load configurations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
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    11. Escudero-Santana, Alejandro & Muñuzuri, Jesús & Cortés, Pablo & Onieva, Luis, 2021. "The one container drayage problem with soft time windows," Research in Transportation Economics, Elsevier, vol. 90(C).
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    13. Xuan Qiu & Jasmine Siu Lee Lam, 2018. "The Value of Sharing Inland Transportation Services in a Dry Port System," Transportation Science, INFORMS, vol. 52(4), pages 835-849, August.
    14. Sanghyuk Yi & Bernd Scholz-Reiter & Taehoon Kim & Kap Hwan Kim, 2019. "Scheduling appointments for container truck arrivals considering their effects on congestion," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 730-762, September.
    15. Xie, Wenming & Jiang, Zhibin & Zhao, Yingxue & Hong, Junjie, 2014. "Capacity planning and allocation with multi-channel distribution," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 108-116.
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    17. Moghaddam, Mahboobeh & Pearce, Robin H. & Mokhtar, Hamid & Prato, Carlo G., 2020. "A generalised model for container drayage operations with heterogeneous fleet, multi-container sizes and two modes of operation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 139(C).
    18. Wenchao Wei & Zining Dong & Jinkui Fan, 2023. "Integrated Location Selection and Scheduling Problems for Inland Container Transportation," Sustainability, MDPI, vol. 15(22), pages 1-16, November.
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