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Time constrained liner shipping network design

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  • Karsten, Christian Vad
  • Brouer, Berit Dangaard
  • Desaulniers, Guy
  • Pisinger, David

Abstract

We present a mathematical model and a solution method for the liner shipping network design problem. The model takes into account coordination between vessels and transit time restrictions on the cargo flow. The solution method is an improvement heuristic, where an integer program is solved iteratively to perform moves in a large neighborhood search. Our improvement heuristic is applicable as a real-time decision support tool for a liner shipping company. It can be used to find improvements to the network when evaluating changes in operating conditions or testing different scenarios. Computational results on the benchmark suite LINER-LIB are reported.

Suggested Citation

  • Karsten, Christian Vad & Brouer, Berit Dangaard & Desaulniers, Guy & Pisinger, David, 2017. "Time constrained liner shipping network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 152-162.
    • Handle: RePEc:eee:transe:v:105:y:2017:i:c:p:152-162
    DOI: 10.1016/j.tre.2016.03.010
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    References listed on IDEAS

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    Cited by:

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    3. 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.
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    7. Yang, Zhisen & Yu, Qing & Yang, Zaili & Wan, Chengpeng, 2024. "A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
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    10. Christiansen, Marielle & Hellsten, Erik & Pisinger, David & Sacramento, David & Vilhelmsen, Charlotte, 2020. "Liner shipping network design," European Journal of Operational Research, Elsevier, vol. 286(1), pages 1-20.
    11. Yang, Zhisen & Wan, Chengpeng & Yu, Qing & Yin, Jingbo & Yang, Zaili, 2023. "A machine learning-based Bayesian model for predicting the duration of ship detention in PSC inspection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
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    13. Xiangang Lan & Qin Tao & Xincheng Wu, 2023. "Liner-Shipping Network Design with Emission Control Areas: A Real Case Study," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    14. David F. Koza & Guy Desaulniers & Stefan Ropke, 2020. "Integrated Liner Shipping Network Design and Scheduling," Transportation Science, INFORMS, vol. 54(2), pages 512-533, March.
    15. Wang, Yadong & Meng, Qiang & Jia, Peng, 2019. "Optimal port call adjustment for liner container shipping routes," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 107-128.
    16. Msakni, Mohamed Kais & Fagerholt, Kjetil & Meisel, Frank & Lindstad, Elizabeth, 2020. "Analyzing different designs of liner shipping feeder networks: A case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    17. 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.
    18. Giusti, Riccardo & Manerba, Daniele & Bruno, Giorgio & Tadei, Roberto, 2019. "Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 92-110.

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