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A reactive container rerouting model for container flow recovery in a hub-and-spoke liner shipping network

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  • Jiangbo Xing
  • Ming Zhong

Abstract

This paper focuses on the container rerouting due to a disruption, aims at making the optimal container flow recovery plan for the affected liner shipping company. First, we make the initial effort to bring up with a basic framework of disruption management for liner shipping. Second, we present a compact integer linear programming model for addressing the container rerouting problem under the proposed framework in a hub-and-spoke liner shipping network, based on a given recovery vessel schedule that determines to omit a port of call. Other shipping companies’ services and other modes (roadway, railway, and airline) as candidate alternative means to transport the miss-connected containers are also incorporated in the proposed model. The container flow recovery plan would select the optimal alternative paths for the miss-connected containers balancing the trade-off between container transport costs and delivery delay penalty costs. Finally, a case study from a global liner shipping company is investigated and the computational results indicate the model can be solved effectively and efficiently for the real-scale problem. Thus, the proposed approach in this paper can supply real-time decision support tool for the liner shipping operators on handling the process of container flow recovery.

Suggested Citation

  • Jiangbo Xing & Ming Zhong, 2017. "A reactive container rerouting model for container flow recovery in a hub-and-spoke liner shipping network," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(6), pages 744-760, August.
    • Handle: RePEc:taf:marpmg:v:44:y:2017:i:6:p:744-760
    DOI: 10.1080/03088839.2017.1319580
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    Cited by:

    1. Veterina Nosadila Riaventin & Sofyan Dwi Cahyo & Ivan Kristianto Singgih, 2021. "A Model for Developing Existing Ports Considering Economic Impact and Network Connectivity," Sustainability, MDPI, vol. 13(7), pages 1-17, March.
    2. Asghari, Mohammad & Jaber, Mohamad Y. & Mirzapour Al-e-hashem, S.M.J., 2023. "Coordinating vessel recovery actions: Analysis of disruption management in a liner shipping service," European Journal of Operational Research, Elsevier, vol. 307(2), pages 627-644.
    3. Junseung Kim & Kyungku Kim & Kum Fai Yuen & Keun-Sik Park, 2020. "Cost and Scenario Analysis of Intermodal Transportation Routes from Korea to the USA: After the Panama Canal Expansion," Sustainability, MDPI, vol. 12(16), pages 1-20, August.
    4. Dan Wei & Zhenhua Chen & Adam Rose, 2020. "Evaluating the role of resilience in reducing economic losses from disasters: A multi‐regional analysis of a seaport disruption," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1691-1722, December.
    5. Zeng, Qingcheng & Wang, Grace W.Y. & Qu, Chenrui & Li, Kevin X., 2018. "Impact of the Carat Canal on the evolution of hub ports under China’s Belt and Road initiative," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 96-107.
    6. Asadabadi, Ali & Miller-Hooks, Elise, 2020. "Maritime port network resiliency and reliability through co-opetition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    7. Peng, Peng & Yang, Yu & Cheng, Shifen & Lu, Feng & Yuan, Zimu, 2019. "Hub-and-spoke structure: Characterizing the global crude oil transport network with mass vessel trajectories," Energy, Elsevier, vol. 168(C), pages 966-974.

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