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Optimal fleet composition and periodic routing of offshore supply vessels

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  • Halvorsen-Weare, Elin E.
  • Fagerholt, Kjetil
  • Nonås, Lars Magne
  • Asbjørnslett, Bjørn Egil

Abstract

The supply vessel planning problem is a maritime transportation problem faced by amongst others the energy company Statoil. A set of offshore installations requires supplies from an onshore supply depot on a regular basis, a service performed by a fleet of offshore supply vessels. The problem consists of determining the optimal fleet composition of offshore supply vessels and their corresponding weekly voyages and schedules. We present a voyage-based solution method for the supply vessel planning problem. A computational study shows how the solution method can be used to solve real-life problems. Statoil has implemented a planning tool based on the voyage-based solution method and reports significant savings.

Suggested Citation

  • Halvorsen-Weare, Elin E. & Fagerholt, Kjetil & Nonås, Lars Magne & Asbjørnslett, Bjørn Egil, 2012. "Optimal fleet composition and periodic routing of offshore supply vessels," European Journal of Operational Research, Elsevier, vol. 223(2), pages 508-517.
    • Handle: RePEc:eee:ejores:v:223:y:2012:i:2:p:508-517
    DOI: 10.1016/j.ejor.2012.06.017
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    References listed on IDEAS

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    Cited by:

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    6. Norlund, Ellen Karoline & Gribkovskaia, Irina & Laporte, Gilbert, 2015. "Supply vessel planning under cost, environment and robustness considerations," Omega, Elsevier, vol. 57(PB), pages 271-281.
    7. Vieira, Bruno S. & Ribeiro, Glaydston M. & Bahiense, Laura & Cruz, Roberto & Mendes, André B. & Laporte, Gilbert, 2021. "Exact and heuristic algorithms for the fleet composition and periodic routing problem of offshore supply vessels with berth allocation decisions," European Journal of Operational Research, Elsevier, vol. 295(3), pages 908-923.
    8. Arslan, Ayşe N. & Papageorgiou, Dimitri J., 2017. "Bulk ship fleet renewal and deployment under uncertainty: A multi-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 69-96.
    9. Diego Cattaruzza & Nabil Absi & Dominique Feillet, 2016. "Vehicle routing problems with multiple trips," 4OR, Springer, vol. 14(3), pages 223-259, September.
    10. Amiri, Mohsen & Amin, Saman Hassanzadeh & Tavakkoli-Moghaddam, Reza, 2019. "A Lagrangean decomposition approach for a novel two-echelon node-based location-routing problem in an offshore oil and gas supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 96-114.
    11. Maciel M. Queiroz & André Bergsten Mendes, 2020. "Critical Success Factors of the Brazilian Offshore Support Vessel Industry: A Flexible Systems Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 33-48, June.
    12. Pantuso, Giovanni & Fagerholt, Kjetil & Hvattum, Lars Magnus, 2014. "A survey on maritime fleet size and mix problems," European Journal of Operational Research, Elsevier, vol. 235(2), pages 341-349.
    13. Ulsrud, Karl Petter & Vandvik, Anders Helgeland & Ormevik, Andreas Breivik & Fagerholt, Kjetil & Meisel, Frank, 2022. "A time-dependent vessel routing problem with speed optimization," European Journal of Operational Research, Elsevier, vol. 303(2), pages 891-907.
    14. McMorland, Jade & Flannigan, Callum & Carroll, James & Collu, Maurizio & McMillan, David & Leithead, William & Coraddu, Andrea, 2022. "A review of operations and maintenance modelling with considerations for novel wind turbine concepts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    15. Ursavas, Evrim, 2017. "A benders decomposition approach for solving the offshore wind farm installation planning at the North Sea," European Journal of Operational Research, Elsevier, vol. 258(2), pages 703-714.
    16. 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.
    17. Santos, A.M.P. & Fagerholt, Kjetil & Laporte, Gilbert & Guedes Soares, C., 2022. "A stochastic optimization approach for the supply vessel planning problem under uncertain demand," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 209-228.
    18. Cruz, Roberto & Bergsten Mendes, André & Bahiense, Laura & Wu, Yue, 2019. "Integrating berth allocation decisions in a fleet composition and periodic routing problem of platform supply vessels," European Journal of Operational Research, Elsevier, vol. 275(1), pages 334-346.
    19. Fischer, Andreas & Nokhart, Håkon & Olsen, Henrik & Fagerholt, Kjetil & Rakke, Jørgen Glomvik & Stålhane, Magnus, 2016. "Robust planning and disruption management in roll-on roll-off liner shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 51-67.

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