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A variable neighbourhood search heuristic for disruption management in offshore oil and gas logistics

Author

Listed:
  • Magnus Stålhane
  • Nils Albjerk
  • Teodor Danielsen
  • Stian Krey
  • Kjetil Fagerholt

Abstract

This paper studies operational planning and disruption management in offshore oil and gas logistics. A significant amount of time is currently spent on operational planning, and major costs are caused by disruptions to the planned routes and schedules for the vessels supplying the offshore installations. The disruptions are mainly due to uncertain and harsh weather conditions. To be able to solve realistic instances of the planning problem, a variable neighbourhood search heuristic is proposed, and tested on instances based on data provided by the case company. The computational results show that the heuristic finds optimal solutions for all the problem instances where the optimal solution is known, and finds high-quality solution for larger instances.

Suggested Citation

  • Magnus Stålhane & Nils Albjerk & Teodor Danielsen & Stian Krey & Kjetil Fagerholt, 2019. "A variable neighbourhood search heuristic for disruption management in offshore oil and gas logistics," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(4), pages 588-600, April.
    • Handle: RePEc:taf:tjorxx:v:70:y:2019:i:4:p:588-600
    DOI: 10.1080/01605682.2018.1452534
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    Cited by:

    1. Asghari, Mohammad & Jaber, Mohamad Y. & Mirzapour Al-e-hashem, S.M.J., 2023. "Coordinating vessel recovery actions: Analysis of disruption management in a liner shipping service," European Journal of Operational Research, Elsevier, vol. 307(2), pages 627-644.
    2. 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.

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