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Decision support and data visualization for liner shipping fleet repositioning

Author

Listed:
  • Daniel Müller

    (Universität Paderborn)

  • Kevin Tierney

    (Universität Paderborn)

Abstract

Liner carriers move vessels between routes in their networks several times a year in a process called fleet repositioning. There are currently no decision support systems to allow repositioning coordinators to take advantage of recent algorithmic advances in creating repositioning plans. Furthermore, no study has addressed how to visualize repositioning plans and liner shipping services in an accessible manner. Displaying information such as cargo flows and interactions between vessels is a complex task due to the overlap of container demands and long time scales. To this end, we propose a web-based decision support system designed specifically for liner shipping fleet repositioning that integrates an extended version of a state-of-the-art simulated annealing solution approach. Our system supports users in evaluating different strategic settings and scenarios, allowing liner carriers to save money through better fleet utilization and cargo throughput, as well as reduce their environmental impact by using less fuel.

Suggested Citation

  • Daniel Müller & Kevin Tierney, 2017. "Decision support and data visualization for liner shipping fleet repositioning," Information Technology and Management, Springer, vol. 18(3), pages 203-221, September.
    • Handle: RePEc:spr:infotm:v:18:y:2017:i:3:d:10.1007_s10799-016-0259-3
    DOI: 10.1007/s10799-016-0259-3
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    1. Brouer, Berit D. & Dirksen, Jakob & Pisinger, David & Plum, Christian E.M. & Vaaben, Bo, 2013. "The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping," European Journal of Operational Research, Elsevier, vol. 224(2), pages 362-374.
    2. Kjetil Fagerholt & Haakon Lindstad, 2007. "TurboRouter: An Interactive Optimisation-Based Decision Support System for Ship Routing and Scheduling," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 9(3), pages 214-233, September.
    3. Richa Agarwal & Özlem Ergun, 2008. "Ship Scheduling and Network Design for Cargo Routing in Liner Shipping," Transportation Science, INFORMS, vol. 42(2), pages 175-196, May.
    4. Christiansen, Marielle & Fagerholt, Kjetil & Nygreen, Bjørn & Ronen, David, 2013. "Ship routing and scheduling in the new millennium," European Journal of Operational Research, Elsevier, vol. 228(3), pages 467-483.
    5. Kjetil Fagerholt & Trond A. V. Johnsen & Haakon Lindstad, 2009. "Fleet deployment in liner shipping: a case study," Maritime Policy & Management, Taylor & Francis Journals, vol. 36(5), pages 397-409, October.
    6. Kevin Tierney & Björg Áskelsdóttir & Rune Møller Jensen & David Pisinger, 2015. "Solving the Liner Shipping Fleet Repositioning Problem with Cargo Flows," Transportation Science, INFORMS, vol. 49(3), pages 652-674, August.
    7. Eglese, R. W., 1990. "Simulated annealing: A tool for operational research," European Journal of Operational Research, Elsevier, vol. 46(3), pages 271-281, June.
    8. Berit D. Brouer & J. Fernando Alvarez & Christian E. M. Plum & David Pisinger & Mikkel M. Sigurd, 2014. "A Base Integer Programming Model and Benchmark Suite for Liner-Shipping Network Design," Transportation Science, INFORMS, vol. 48(2), pages 281-312, May.
    9. 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.
    10. Mansouri, S. Afshin & Lee, Habin & Aluko, Oluwakayode, 2015. "Multi-objective decision support to enhance environmental sustainability in maritime shipping: A review and future directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 78(C), pages 3-18.
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