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Planning and optimization of intermodal hub-and-spoke network under mixed uncertainty

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  • Yang, Kai
  • Yang, Lixing
  • Gao, Ziyou

Abstract

This paper addresses the planning and optimization of intermodal hub-and-spoke (IH&S) network considering mixed uncertainties in both transportation cost and travel time. Different from previous studies, this paper develops a novel modeling framework for the IH&S network design problem to jointly minimize the expected value of total transportation costs and the maximum travel time requirement in term of critical value. A new hybrid methodology by combining fuzzy random simulation (FRS) technique and multi-start simulated annealing (MSA) algorithm is designed to solve the proposed model. Numerical experiments are implemented to verify the effectiveness of the proposed model and solution approach.

Suggested Citation

  • Yang, Kai & Yang, Lixing & Gao, Ziyou, 2016. "Planning and optimization of intermodal hub-and-spoke network under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 248-266.
    • Handle: RePEc:eee:transe:v:95:y:2016:i:c:p:248-266
    DOI: 10.1016/j.tre.2016.10.001
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    7. Sina Mohri, Seyed & Thompson, Russell, 2022. "Designing sustainable intermodal freight transportation networks using a controlled rail tariff discounting policy – The Iranian case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 59-77.
    8. Crainic, Teodor Gabriel & Perboli, Guido & Rosano, Mariangela, 2018. "Simulation of intermodal freight transportation systems: a taxonomy," European Journal of Operational Research, Elsevier, vol. 270(2), pages 401-418.
    9. Du, Yiying & Zhou, Wenyuan & Lian, Feng, 2022. "A scheme for passenger service-like backhaul for China railway express trains," Transport Policy, Elsevier, vol. 120(C), pages 56-68.
    10. Chen, Dongxu & Yang, Zhongzhen, 2018. "Systematic optimization of port clusters along the Maritime Silk Road in the context of industry transfer and production capacity constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 174-189.
    11. Quesada Pérez, José Miguel & Lange, Jean-Charles & Tancrez, Jean-Sébastien, 2018. "A multi-hub Express Shipment Service Network Design model with flexible hub assignment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 120(C), pages 116-131.
    12. Zhang, Canrong & Xie, Fanrui & Huang, Kun & Wu, Tao & Liang, Zhe, 2017. "MIP models and a hybrid method for the capacitated air-cargo network planning and scheduling problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 158-173.
    13. Juanjo Peiró & Ángel Corberán & Rafael Martí & Francisco Saldanha-da-Gama, 2019. "Heuristic Solutions for a Class of Stochastic Uncapacitated p-Hub Median Problems," Transportation Science, INFORMS, vol. 53(4), pages 1126-1149, July.
    14. Yan Sun & Xinya Li, 2019. "Fuzzy Programming Approaches for Modeling a Customer-Centred Freight Routing Problem in the Road-Rail Intermodal Hub-and-Spoke Network with Fuzzy Soft Time Windows and Multiple Sources of Time Uncerta," Mathematics, MDPI, vol. 7(8), pages 1-40, August.
    15. Shuxia Li & Yuedan Zu & Huimin Fang & Liping Liu & Tijun Fan, 2021. "Design Optimization of a HAZMAT Multimodal Hub-and-Spoke Network with Detour," IJERPH, MDPI, vol. 18(23), pages 1-18, November.
    16. Yuan, Yun & Yu, Jie, 2018. "Locating transit hubs in a multi-modal transportation network: A cluster-based optimization approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 85-103.

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