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Scheduling for inland container truck and train transportation

Author

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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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    5. 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).
    6. Daniela Ambrosino & Claudia Caballini, 2019. "New solution approaches for the train load planning problem," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(3), pages 299-325, September.
    7. 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.
    8. 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.
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    10. Lam, Jasmine Siu Lee & Gu, Yimiao, 2016. "A market-oriented approach for intermodal network optimisation meeting cost, time and environmental requirements," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 266-274.
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    13. 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.
    14. Wang, Xinchang & Meng, Qiang & Miao, Lixin, 2016. "Delimiting port hinterlands based on intermodal network flows: Model and algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 32-51.
    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.
    16. Qiu, Xuan & Lam, Jasmine Siu Lee & Huang, George Q., 2015. "A bilevel storage pricing model for outbound containers in a dry port system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 65-83.
    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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    20. Fan, Tijun & Pan, Qianlan & Pan, Fei & Zhou, Wei & Chen, Jingyi, 2020. "Intelligent logistics integration of internal and external transportation with separation mode," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).

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