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A truck scheduling problem arising in intermodal container transportation

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  • Nossack, Jenny
  • Pesch, Erwin

Abstract

We address a truck scheduling problem that arises in intermodal container transportation, where containers need to be transported between customers (shippers or receivers) and container terminals (rail or maritime) and vice versa. The transportation requests are handled by a trucking company which operates several depots and a fleet of homogeneous trucks that must be routed and scheduled to minimize the total truck operating time under hard time window constraints imposed by the customers and terminals. Empty containers are considered as transportation resources and are provided by the trucking company for freight transportation. The truck scheduling problem at hand is formulated as Full-Truckload Pickup and Delivery Problem with Time Windows (FTPDPTW) and is solved by a 2-stage heuristic solution approach. This solution method was specially designed for the truck scheduling problem but can be applied to other problems as well. We assess the quality of our solution approach on several computational experiments.

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  • Nossack, Jenny & Pesch, Erwin, 2013. "A truck scheduling problem arising in intermodal container transportation," European Journal of Operational Research, Elsevier, vol. 230(3), pages 666-680.
    • Handle: RePEc:eee:ejores:v:230:y:2013:i:3:p:666-680
    DOI: 10.1016/j.ejor.2013.04.042
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    Cited by:

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    6. Gendreau, Michel & Nossack, Jenny & Pesch, Erwin, 2015. "Mathematical formulations for a 1-full-truckload pickup-and-delivery problem," European Journal of Operational Research, Elsevier, vol. 242(3), pages 1008-1016.
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    9. 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.
    10. Hajem A. Daham & Xinan Yang & Michaela K. Warnes, 2017. "An efficient mixed integer programming model for pairing containers in inland transportation based on the assignment of orders," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(6), pages 678-694, June.
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    12. Samaneh Shiri & Nathan Huynh & Daniel Smith & Frank Harder, 2022. "Impact of Second-Tier Container Port Facilities on Drayage Operation," Logistics, MDPI, vol. 6(4), pages 1-21, September.
    13. 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).
    14. Xiaoju Zhang & Yue Gu & Yuqing Yang & Baoli Liu, 2023. "Comparing the Efficiency of Two Types of Yard Layout in Container Terminals," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    15. Shou-feng Ji & Rong-juan Luo, 2017. "A Hybrid Estimation of Distribution Algorithm for Multi-Objective Multi-Sourcing Intermodal Transportation Network Design Problem Considering Carbon Emissions," Sustainability, MDPI, vol. 9(7), pages 1-24, June.
    16. 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.
    17. Adil Baykasoğlu & Nurhan Dudaklı & Kemal Subulan & A. Serdar Taşan, 2022. "An integrated fleet planning model with empty vehicle repositioning for an intermodal transportation system," Operational Research, Springer, vol. 22(3), pages 2063-2098, July.
    18. 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).
    19. 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.
    20. 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.
    21. Hilde Heggen & Yves Molenbruch & An Caris & Kris Braekers, 2019. "Intermodal Container Routing: Integrating Long-Haul Routing and Local Drayage Decisions," Sustainability, MDPI, vol. 11(6), pages 1-36, March.
    22. Archetti, Claudia & Peirano, Lorenzo & Speranza, M. Grazia, 2022. "Optimization in multimodal freight transportation problems: A Survey," European Journal of Operational Research, Elsevier, vol. 299(1), pages 1-20.
    23. 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).
    24. Klumpp, M. & Ruiner, C., 2018. "Digitalization and Work Organization in New Urban Food Delivery Systems," 2018 International European Forum (163rd EAAE Seminar), February 5-9, 2018, Innsbruck-Igls, Austria 276876, International European Forum on System Dynamics and Innovation in Food Networks.

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