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Reducing fuel emissions by optimizing speed on shipping routes

Author

Listed:
  • K Fagerholt

    (Norwegian University of Science and Technology)

  • G Laporte

    (Canada Research Chair in Distribution Management, HEC)

  • I Norstad

    (Norwegian University of Science and Technology
    Norwegian Marine Technology Research Institute (MARINTEK))

Abstract

Fuel consumption and emissions on a shipping route are typically a cubic function of speed. Given a shipping route consisting of a sequence of ports with a time window for the start of service, substantial savings can be achieved by optimizing the speed of each leg. This problem is cast as a non-linear continuous program, which can be solved by a non-linear programming solver. We propose an alternative solution methodology, in which the arrival times are discretized and the problem is solved as a shortest path problem on a directed acyclic graph. Extensive computational results confirm the superiority of the shortest path approach and the potential for fuel savings on shipping routes.

Suggested Citation

  • K Fagerholt & G Laporte & I Norstad, 2010. "Reducing fuel emissions by optimizing speed on shipping routes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 523-529, March.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:3:d:10.1057_jors.2009.77
    DOI: 10.1057/jors.2009.77
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    References listed on IDEAS

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    1. Thomas R. Sexton & Lawrence D. Bodin, 1985. "Optimizing Single Vehicle Many-to-Many Operations with Desired Delivery Times: I. Scheduling," Transportation Science, INFORMS, vol. 19(4), pages 378-410, November.
    2. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    3. Fagerholt, Kjetil, 2001. "Ship scheduling with soft time windows: An optimisation based approach," European Journal of Operational Research, Elsevier, vol. 131(3), pages 559-571, June.
    4. Nikiforos A. Papadakis & Anastassios N. Perakis, 1989. "A nonlinear approach to the multiorigin, multidestination fleet deployment problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(4), pages 515-528, August.
    5. 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.
    6. Yvan Dumas & François Soumis & Jacques Desrosiers, 1990. "Technical Note—Optimizing the Schedule for a Fixed Vehicle Path with Convex Inconvenience Costs," Transportation Science, INFORMS, vol. 24(2), pages 145-152, May.
    7. 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.
    8. Thomas R. Sexton & Lawrence D. Bodin, 1985. "Optimizing Single Vehicle Many-to-Many Operations with Desired Delivery Times: II. Routing," Transportation Science, INFORMS, vol. 19(4), pages 411-435, November.
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