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Strategic trade-off between vessel delay and schedule recovery: an empirical analysis of container liner shipping

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  • Hamed Hasheminia
  • Changmin Jiang

Abstract

In this paper, we empirically test the relationship between the delay of containerships and the scheduled operations in a terminal, based on a dataset containing information on 352 containership arrivals during a 9-month period at seven terminals of three North American ports. We find that a vessel is less likely to be delayed when there are more operations scheduled shortly (up to 3 days) after the vessel’s berthing window in the terminal. Moreover, we also find that the more containers a vessel needs to unload in the terminal, the less likely that it would be delayed. Both findings support the hypothesis that liners strategically balance the trade-off between delay cost and schedule recovery cost.

Suggested Citation

  • Hamed Hasheminia & Changmin Jiang, 2017. "Strategic trade-off between vessel delay and schedule recovery: an empirical analysis of container liner shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(4), pages 458-473, May.
    • Handle: RePEc:taf:marpmg:v:44:y:2017:i:4:p:458-473
    DOI: 10.1080/03088839.2017.1298867
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    4. Kevin Tierney & Jan Fabian Ehmke & Ann Melissa Campbell & Daniel Müller, 2019. "Liner shipping single service design problem with arrival time service levels," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 620-652, September.
    5. Zheng, Shiyuan & Fu, Xiaowen & Jiang, Changmin & Ge, Ying-En, 2020. "Airline investments in exclusive airport facilities: Timing decisions under demand ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 343-363.
    6. César Ducruet & Hidekazu Itoh, 2022. "Spatial Network Analysis of Container Port Operations: The Case of Ship Turnaround Times," Networks and Spatial Economics, Springer, vol. 22(4), pages 883-902, December.
    7. Mulder, Judith & Dekker, Rommert, 2019. "Designing robust liner shipping schedules: Optimizing recovery actions and buffer times," European Journal of Operational Research, Elsevier, vol. 272(1), pages 132-146.

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