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Routing and scheduling in project shipping

Author

Listed:
  • Kjetil Fagerholt
  • Lars Hvattum
  • Trond Johnsen
  • Jarl Korsvik

Abstract

Tramp shipping companies are committed to transport a set of contracted cargoes and try to derive additional revenue from carrying optional spot cargoes. Here, we present a real life ship routing and scheduling problem for a shipping company operating in project shipping, a special segment of tramp shipping. This segment differs from more traditional tramp segments, as the cargoes are usually transported on a one-time basis. Because of the special nature of the cargoes, complicating requirements regarding stowage onboard the ships and cargo coupling must be considered while determining routes and schedules for the ships in the fleet. A mathematical model is presented and a tabu search heuristic is proposed to solve the problem. Computational results show that the tabu search heuristic provides optimal or near-optimal solutions in a reasonable amount of time, and that it can give significant improvements to manual planning for the shipping company. Copyright The Author(s) 2013

Suggested Citation

  • 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.
    • Handle: RePEc:spr:annopr:v:207:y:2013:i:1:p:67-81:10.1007/s10479-011-0888-1
    DOI: 10.1007/s10479-011-0888-1
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    References listed on IDEAS

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    Cited by:

    1. Pache, Hannah & Kastner, Marvin & Jahn, Carlos, 2019. "Current state and trends in tramp ship routing and scheduling," 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 369-394, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. 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.
    3. Rigot-Müller, Patrick & Cheaitou, Ali & Etienne, Laurent & Faury, Olivier & Fedi, Laurent, 2022. "The role of polarseaworthiness in shipping planning for infrastructure projects in the Arctic: The case of Yamal LNG plant," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 330-353.
    4. Lin-Hui Sun & Kai Cui & Ju-Hong Chen & Jun Wang & Xian-Chen He, 2013. "Research on permutation flow shop scheduling problems with general position-dependent learning effects," Annals of Operations Research, Springer, vol. 211(1), pages 473-480, December.
    5. 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.

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