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Joint Routing and Deployment of a Fleet of Container Vessels

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  • José Fernando Álvarez

    (Det Norske Veritas AS, Høvik N-1322, Norway.)

Abstract

Liner companies face a complex problem in determining the optimal routing and deployment of a fleet of container vessels. This paper presents a model and an algorithm to address the two problems jointly. The model captures the revenues and operating expenses of a global liner company, and allows for the representation of vessel types with different cost and operating properties, transhipment hubs and associated costs, port delays, regional trade imbalances and the possibility of rejecting transportation demand selectively. Benchmark tests demonstrate that the proposed algorithm achieves good solutions quickly. The proposed algorithm is applied in a case study with 120 ports of call distributed throughout the globe. The case study explores the sensitivity of optimal fleet deployment and routing to varying bunker costs. Maritime Economics & Logistics (2009) 11, 186–208. doi:10.1057/mel.2009.5

Suggested Citation

  • José Fernando Álvarez, 2009. "Joint Routing and Deployment of a Fleet of Container Vessels," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(2), pages 186-208, June.
    • Handle: RePEc:pal:marecl:v:11:y:2009:i:2:p:186-208
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    Citations

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    Cited by:

    1. 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.
    2. Song, Dong-Ping & Dong, Jing-Xin, 2012. "Cargo routing and empty container repositioning in multiple shipping service routes," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1556-1575.
    3. Wang, Shuaian & Meng, Qiang, 2013. "Reversing port rotation directions in a container liner shipping network," Transportation Research Part B: Methodological, Elsevier, vol. 50(C), pages 61-73.
    4. 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.
    5. Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "Bunker consumption optimization methods in shipping: A critical review and extensions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 49-62.
    6. Liu, Zhiyuan & Meng, Qiang & Wang, Shuaian & Sun, Zhuo, 2014. "Global intermodal liner shipping network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 28-39.
    7. Wang, Shuaian, 2014. "A novel hybrid-link-based container routing model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 165-175.
    8. Mulder, Judith & Dekker, Rommert, 2014. "Methods for strategic liner shipping network design," European Journal of Operational Research, Elsevier, vol. 235(2), pages 367-377.
    9. Qi, Xiangtong & Song, Dong-Ping, 2012. "Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 863-880.
    10. Wang, Shuaian & Meng, Qiang, 2012. "Robust schedule design for liner shipping services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1093-1106.
    11. Plum, Christian E.M. & Pisinger, David & Sigurd, Mikkel M., 2014. "A service flow model for the liner shipping network design problem," European Journal of Operational Research, Elsevier, vol. 235(2), pages 378-386.
    12. Wang, Shuaian, 2013. "Essential elements in tactical planning models for container liner shipping," Transportation Research Part B: Methodological, Elsevier, vol. 54(C), pages 84-99.
    13. 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.
    14. Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "Containership scheduling with transit-time-sensitive container shipment demand," Transportation Research Part B: Methodological, Elsevier, vol. 54(C), pages 68-83.
    15. Meng, Qiang & Wang, Shuaian, 2012. "Liner ship fleet deployment with week-dependent container shipment demand," European Journal of Operational Research, Elsevier, vol. 222(2), pages 241-252.
    16. 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.

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