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Optimal policies for maintaining a supply service in the Norwegian Sea


  • Fagerholt, Kjetil
  • Lindstad, Håkon


This paper considers the real problem of determining an efficient policy for a supply operation in the Norwegian Sea, where a number of offshore installations are serviced from an onshore depot by supply vessels. The purpose of the study was to evaluate the effect on the total supply cost of having some or all of the offshore installations closed for service during night, and to determine an optimal routing policy. Six scenarios were developed, varying in the opening hours and the number of weekly services of the installations, as well as an algorithm to find an optimal routing policy (which vessels to operate and the coherent weekly schedules) for each of the scenarios. By also evaluating the qualitative aspects of the solution of each scenario, a routing policy was recommended, involving potential savings of 7 million dollars. The proposed policy has been implemented and the experience so far is good.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jomega:v:28:y:2000:i:3:p:269-275

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    References listed on IDEAS

    1. Gerald G. Brown & Glenn W. Graves & David Ronen, 1987. "Scheduling Ocean Transportation of Crude Oil," Management Science, INFORMS, vol. 33(3), pages 335-346, March.
    2. Dan O. Bausch & Gerald G. Brown & David Ronen, 1998. "Scheduling short-term marine transport of bulk products," Maritime Policy & Management, Taylor & Francis Journals, vol. 25(4), pages 335-348, October.
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    Cited by:

    1. Sambracos, E. & Paravantis, J. A. & Tarantilis, C. D. & Kiranoudis, C. T., 2004. "Dispatching of small containers via coastal freight liners: The case of the Aegean Sea," European Journal of Operational Research, Elsevier, vol. 152(2), pages 365-381, January.
    2. Rasmussen, Rasmus, 2011. "TSP in spreadsheets--A fast and flexible tool," Omega, Elsevier, vol. 39(1), pages 51-63, January.
    3. Day, Jamison M. & Daniel Wright, P. & Schoenherr, Tobias & Venkataramanan, Munirpallam & Gaudette, Kevin, 2009. "Improving routing and scheduling decisions at a distributor of industrial gasses," Omega, Elsevier, vol. 37(1), pages 227-237, February.
    4. Lindstad, Haakon & Asbjørnslett, Bjørn E. & Strømman, Anders H., 2011. "Reductions in greenhouse gas emissions and cost by shipping at lower speeds," Energy Policy, Elsevier, vol. 39(6), pages 3456-3464, June.
    5. 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.
    6. Fagerholt, Kjetil & Christiansen, Marielle & Magnus Hvattum, Lars & Johnsen, Trond A.V. & Vabø, Thor J., 2010. "A decision support methodology for strategic planning in maritime transportation," Omega, Elsevier, vol. 38(6), pages 465-474, December.
    7. Lindstad, Haakon Elizabeth & Eskeland, Gunnar S. & Rialland, Agathe, 2016. "Batteries in Offshore Support vessels - Pollution, climate impact and economics," Discussion Papers 2016/21, Norwegian School of Economics, Department of Business and Management Science.
    8. Zenker, Michael & Emde, Simon & Boysen, Nils, 2016. "Cyclic inventory routing in a line-shaped network," European Journal of Operational Research, Elsevier, vol. 250(1), pages 164-178.
    9. 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.
    10. 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.
    11. Meng, Qiang & Wang, Tingsong & Wang, Shuaian, 2012. "Short-term liner ship fleet planning with container transshipment and uncertain container shipment demand," European Journal of Operational Research, Elsevier, vol. 223(1), pages 96-105.
    12. Bell, John E. & Griffis, Stanley E. & Cunningham III, William A. & Eberlan, Jon A., 2011. "Location optimization of strategic alert sites for homeland defense," Omega, Elsevier, vol. 39(2), pages 151-158, April.
    13. Overholts II, Dale L. & Bell, John E. & Arostegui, Marvin A., 2009. "A location analysis approach for military maintenance scheduling with geographically dispersed service areas," Omega, Elsevier, vol. 37(4), pages 838-852, August.
    14. Kaiser, Mark J., 2010. "An integrated systems framework for service vessel forecasting in the Gulf of Mexico," Energy, Elsevier, vol. 35(7), pages 2777-2795.
    15. Wang, Shuaian & Meng, Qiang & Sun, Zhuo, 2013. "Container routing in liner shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 1-7.


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