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A decision support methodology for strategic planning in maritime transportation

Author

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  • Fagerholt, Kjetil
  • Christiansen, Marielle
  • Magnus Hvattum, Lars
  • Johnsen, Trond A.V.
  • Vabø, Thor J.

Abstract

This paper presents a decision support methodology for strategic planning in tramp and industrial shipping. The proposed methodology combines simulation and optimization, where a Monte Carlo simulation framework is built around an optimization-based decision support system for short-term routing and scheduling. The simulation proceeds by considering a series of short-term routing and scheduling problems using a rolling horizon principle where information is revealed as time goes by. The approach is flexible in the sense that it can easily be configured to provide decision support for a wide range of strategic planning problems, such as fleet size and mix problems, analysis of long-term contracts and contract terms. The methodology is tested on a real case for a major Norwegian shipping company. The methodology provided valuable decision support on important strategic planning problems for the shipping company.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jomega:v:38:y:2010:i:6:p:465-474
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    References listed on IDEAS

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    1. Persson, Marie & Persson, Jan A., 2009. "Health economic modeling to support surgery management at a Swedish hospital," Omega, Elsevier, vol. 37(4), pages 853-863, August.
    2. Sounderpandian, Jayavel & Prasad, Sameer & Madan, Manu, 2008. "Supplies from developing countries: Optimal order quantities under loss risks," Omega, Elsevier, vol. 36(1), pages 122-130, February.
    3. 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.
    4. Taylor, AJ, 1982. "Chartering strategies for shipping companies," Omega, Elsevier, vol. 10(1), pages 25-33.
    5. 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.
    6. Ronen, David, 1993. "Ship scheduling: The last decade," European Journal of Operational Research, Elsevier, vol. 71(3), pages 325-333, December.
    7. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    8. Octavio Richetta & Richard C. Larson, 1997. "Modeling the Increased Complexity of New York City's Refuse Marine Transport System," Transportation Science, INFORMS, vol. 31(3), pages 272-293, August.
    9. Ronen, David, 1983. "Cargo ships routing and scheduling: Survey of models and problems," European Journal of Operational Research, Elsevier, vol. 12(2), pages 119-126, February.
    10. 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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