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A tabu search heuristic for ship routing and scheduling

Author

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  • J E Korsvik

    (Norwegian University of Science and Technology
    Norwegian Marine Technology Research Institute (MARINTEK))

  • K Fagerholt

    (Norwegian University of Science and Technology)

  • G Laporte

    (Canada Research Chair in Distribution Management, HEC Montréal)

Abstract

The purpose of this paper is to solve a planning problem faced by many shipping companies dealing with the transport of bulk products. These shipping companies are committed to carrying some contract cargoes and will try to derive additional revenue from optional spot cargoes. An efficient tabu search algorithm has been developed to ensure quick decision support for the planners. The solutions generated by the tabu search heuristic are compared with those produced by a previously published multi-start local search heuristic. Computational results show that the tabu search heuristic yields optimal or near-optimal solutions to real-life instances within reasonable time. For large and tigthly constrained cases, the tabu search heuristic provides much better solutions than the multi-start local search heuristic. A version of the tabu search heuristic will be integrated as an improved solver in a prototype decision support system used by several shipping companies.

Suggested Citation

  • J E Korsvik & K Fagerholt & G Laporte, 2010. "A tabu search heuristic for ship routing and scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 594-603, April.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:4:d:10.1057_jors.2008.192
    DOI: 10.1057/jors.2008.192
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Kjetil Fagerholt & Lars Hvattum & Trond Johnsen & Jarl Korsvik, 2013. "Routing and scheduling in project shipping," Annals of Operations Research, Springer, vol. 207(1), pages 67-81, August.
    2. Stålhane, Magnus & Andersson, Henrik & Christiansen, Marielle & Fagerholt, Kjetil, 2014. "Vendor managed inventory in tramp shipping," Omega, Elsevier, vol. 47(C), pages 60-72.
    3. Rizvanolli, Anisa & Haupt, Alexander & Müller, Peter Marvin & Dornemann, Jorin, 2019. "Fleet based schedule optimisation for product tanker considering shipʼs stability," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics, volume 28, pages 395-426, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Gregorio Tirado & Lars Magnus Hvattum, 2017. "Determining departure times in dynamic and stochastic maritime routing and scheduling problems," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 553-571, December.
    5. Sun, Qinghe & Meng, Qiang & Chou, Mabel C., 2021. "Optimizing voyage charterparty (VCP) arrangement: Laytime negotiation and operations coordination," European Journal of Operational Research, Elsevier, vol. 291(1), pages 263-270.
    6. Wu, Lingxiao & Wang, Shuaian & Laporte, Gilbert, 2021. "The Robust Bulk Ship Routing Problem with Batched Cargo Selection," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 124-159.
    7. Gregorio Tirado & Lars Magnus Hvattum, 2017. "Improved solutions to dynamic and stochastic maritime pick-up and delivery problems using local search," Annals of Operations Research, Springer, vol. 253(2), pages 825-843, June.
    8. Gerald G. Brown & Walter C. DeGrange & Wilson L. Price & Anton A. Rowe, 2017. "Scheduling combat logistics force replenishments at sea for the US Navy," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(8), pages 677-693, December.
    9. Christiansen, Marielle & Fagerholt, Kjetil & Nygreen, Bjørn & Ronen, David, 2013. "Ship routing and scheduling in the new millennium," European Journal of Operational Research, Elsevier, vol. 228(3), pages 467-483.
    10. Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), 2019. "Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics," Proceedings of the Hamburg International Conference of Logistics (HICL), Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management, volume 28, number 28.
    11. Gelareh, Shahin & Pisinger, David, 2011. "Fleet deployment, network design and hub location of liner shipping companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 947-964.
    12. Meng, Qiang & Wang, Shuaian & Lee, Chung-Yee, 2015. "A tailored branch-and-price approach for a joint tramp ship routing and bunkering problem," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 1-19.

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