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Optimal fleet composition and periodic routing of offshore supply vessels

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Author Info

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

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    File URL: http://www.sciencedirect.com/science/article/pii/S0377221712004729
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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 223 (2012)
    Issue (Month): 2 ()
    Pages: 508-517

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    Handle: RePEc:eee:ejores:v:223:y:2012:i:2:p:508-517

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Transportation; Fleet composition; Ship routing and scheduling; Supply operations; Periodic routing;

    References

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    1. Baptista, Susana & Oliveira, Rui Carvalho & Zuquete, Eduardo, 2002. "A period vehicle routing case study," European Journal of Operational Research, Elsevier, vol. 139(2), pages 220-229, June.
    2. Brandao, Jose & Mercer, Alan, 1997. "A tabu search algorithm for the multi-trip vehicle routing and scheduling problem," European Journal of Operational Research, Elsevier, vol. 100(1), pages 180-191, July.
    3. Fagerholt, Kjetil & Lindstad, Håkon, 2000. "Optimal policies for maintaining a supply service in the Norwegian Sea," Omega, Elsevier, vol. 28(3), pages 269-275, June.
    4. Tan, C.C.R. & Beasley, J.E., 1984. "A heuristic algorithm for the period vehicle routing problem," Omega, Elsevier, vol. 12(5), pages 497-504.
    5. Hemmelmayr, Vera C. & Doerner, Karl F. & Hartl, Richard F., 2009. "A variable neighborhood search heuristic for periodic routing problems," European Journal of Operational Research, Elsevier, vol. 195(3), pages 791-802, June.
    6. Bj�rnar Aas & �yvind Halskau Sr & Stein W Wallace, 2009. "The role of supply vessels in offshore logistics," Maritime Economics and Logistics, Palgrave Macmillan, vol. 11(3), pages 302-325, September.
    7. Mourgaya, M. & Vanderbeck, F., 2007. "Column generation based heuristic for tactical planning in multi-period vehicle routing," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1028-1041, December.
    8. Azi, Nabila & Gendreau, Michel & Potvin, Jean-Yves, 2010. "An exact algorithm for a vehicle routing problem with time windows and multiple use of vehicles," European Journal of Operational Research, Elsevier, vol. 202(3), pages 756-763, May.
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    Cited by:
    1. 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.

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