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Liner container assignment model with transit-time-sensitive container shipment demand and its applicationsAuthor-Name: Wang, Shuaian

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  • Meng, Qiang
  • Lee, Chung-Yee

Abstract

This paper proposes a practical tactical-level liner container assignment model for liner shipping companies, in which the container shipment demand is a non-increasing function of the transit time. Given the transit-time-sensitive demand, the model aims to determine which proportion of the demand to fulfill and how to transport these containers in a liner shipping network to maximize the total profit. Although the proposed model is similar to multi-commodity network-flow (MCNF) with side constraints, unlike the MCNF with time delay constraints or reliability constraints that is NP-hard, we show that the liner container assignment model is polynomially solvable due to its weekly schedule characteristics by developing two link-based linear programing formulations. A number of practical extensions and applications are analyzed and managerial insights are discussed. The polynomially solvable liner container assignment model is then applied to address several important decision problems proposed by a global liner shipping company.

Suggested Citation

  • Meng, Qiang & Lee, Chung-Yee, 2016. "Liner container assignment model with transit-time-sensitive container shipment demand and its applicationsAuthor-Name: Wang, Shuaian," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 135-155.
    • Handle: RePEc:eee:transb:v:90:y:2016:i:c:p:135-155
    DOI: 10.1016/j.trb.2016.04.014
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    References listed on IDEAS

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    Cited by:

    1. Balakrishnan, Anantaram & Karsten, Christian Vad, 2017. "Container shipping service selection and cargo routing with transshipment limits," European Journal of Operational Research, Elsevier, vol. 263(2), pages 652-663.
    2. Zhang, Ruiyou & Zhao, Haishu & Moon, Ilkyeong, 2018. "Range-based truck-state transition modeling method for foldable container drayage services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 225-239.
    3. Wang, Tingsong & Meng, Qiang & Wang, Shuaian & Qu, Xiaobo, 2021. "A two-stage stochastic nonlinear integer-programming model for slot allocation of a liner container shipping service," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 143-160.
    4. Zhen, Lu & Wang, Shuaian & Zhuge, Dan, 2017. "Analysis of three container routing strategies," International Journal of Production Economics, Elsevier, vol. 193(C), pages 259-271.
    5. E. Zhang & Feng Chu & Shijin Wang & Ming Liu & Yang Sui, 0. "Approximation approach for robust vessel fleet deployment problem with ambiguous demands," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-15.
    6. Trivella, Alessio & Corman, Francesco & Koza, David F. & Pisinger, David, 2021. "The multi-commodity network flow problem with soft transit time constraints: Application to liner shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    7. E. Zhang & Feng Chu & Shijin Wang & Ming Liu & Yang Sui, 2022. "Approximation approach for robust vessel fleet deployment problem with ambiguous demands," Journal of Combinatorial Optimization, Springer, vol. 44(4), pages 2180-2194, November.
    8. Zhijia Tan & Yadong Wang & Qiang Meng & Zhixue Liu, 2018. "Joint Ship Schedule Design and Sailing Speed Optimization for a Single Inland Shipping Service with Uncertain Dam Transit Time," Service Science, INFORMS, vol. 52(6), pages 1570-1588, December.
    9. Wang, Yadong & Gu, Yuyun & Wang, Tingsong & Zhang, Jun, 2022. "A risk-averse approach for joint contract selection and slot allocation in liner container shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    10. Fernández, Elena & Munoz-Marquez, Manuel, 2022. "New formulations and solutions for the strategic berth template problem," European Journal of Operational Research, Elsevier, vol. 298(1), pages 99-117.
    11. Reinhardt, Line Blander & Pisinger, David & Sigurd, Mikkel M. & Ahmt, Jonas, 2020. "Speed optimizations for liner networks with business constraints," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1127-1140.

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