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Integrated Liner Shipping Network Design and Scheduling

Author

Listed:
  • David F. Koza

    (DTU Management, Technical University of Denmark, 2800 Kongens Lyngby, Denmark)

  • Guy Desaulniers

    (Mathematics and Industrial Engineering Department, Polytechnique Montréal, Montreal, Quebec H3T 1J4, Canada; Group for Research in Decision Analysis (GERAD), HEC Montreal, Montreal, Quebec H3T 2A7, Canada)

  • Stefan Ropke

    (Department of Management Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark)

Abstract

In global liner shipping networks, a large share of transported cargo is transshipped at least once between container vessels, and the total transportation time of these containers depends on how well the corresponding services are synchronized. We propose a problem formulation that integrates service scheduling into the liner shipping network design problem. Furthermore, the model incorporates many industry-relevant modeling aspects: it allows for leg-based sailing speed optimization, it is not limited to simple or butterfly-type services, and it accounts for service-level requirements such as cargo transit time limits. The classic liner shipping network design problem is already a hard problem, and to solve the extended version, we propose a column-generation matheuristic that uses advanced linear programming techniques. The proposed method solves LINER-LIB instances of up to 114 ports and, if applied to the classic liner shipping network design problem, finds new best solutions to all instances, outperforming existing methods reported in the literature. Additionally, we analyze the relevance of scheduling for liner shipping network design. The results indicate that neglecting scheduling and approximating transshipments instead may result in the design of liner shipping networks that underestimate cargo transit times and their implications.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ortrsc:v:54:y:2020:i:2:p:512-533
    DOI: 10.1287/trsc.2018.0888
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    References listed on IDEAS

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    3. Gam Thi Hong Nguyen & Daria Ruzaeva & Julio Cesar Góez & Mario Guajardo, 2022. "Insights on the introduction of autonomous vessels to liner shipping networks," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-27, December.
    4. 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).
    5. Hellsten, Erik Orm & Sacramento, David & Pisinger, David, 2022. "A branch-and-price algorithm for solving the single-hub feeder network design problem," European Journal of Operational Research, Elsevier, vol. 300(3), pages 902-916.
    6. Xi Jiang & Haijun Mao & Yadong Wang & Hao Zhang, 2020. "Liner Shipping Schedule Design for Near-Sea Routes Considering Big Customers’ Preferences on Ship Arrival Time," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    7. 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).

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