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Container fleet sizing and empty repositioning in liner shipping systems


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  • Dong, Jing-Xin
  • Song, Dong-Ping
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    This paper considers the joint container fleet sizing and empty container repositioning problem in multi-vessel, multi-port and multi-voyage shipping systems with dynamic, uncertain and imbalanced customer demands. The objective is to minimize the expected total costs including inventory-holding costs, lifting-on/lifting-off costs, transportation costs, repositioning costs, and lost-sale penalty costs. A simulation-based optimization tool is developed to optimize the container fleet size and the parameterized empty repositioning policy simultaneously. The optimization procedure is based on Genetic Algorithms and Evolutionary Strategy combined with an adjustment mechanism. Case studies are given to demonstrate the results.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part E: Logistics and Transportation Review.

    Volume (Year): 45 (2009)
    Issue (Month): 6 (November)
    Pages: 860-877

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    Handle: RePEc:eee:transe:v:45:y:2009:i:6:p:860-877

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    Keywords: Fleet sizing Empty container repositioning Threshold control policy Genetic Algorithms Evolutionary Strategy Stochastic Simulation;


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    Cited by:
    1. Liu, Cong & Jiang, Zhibin & Liu, Liming & Geng, Na, 2013. "Solutions for flexible container leasing contracts with options under capacity and order constraints," International Journal of Production Economics, Elsevier, vol. 141(1), pages 403-413.
    2. 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.
    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. Lee, Der-Horng & Jin, Jian Gang, 2013. "Feeder vessel management at container transshipment terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 201-216.
    5. Chen, Kang & Yang, Zhongzhen & Notteboom, Theo, 2014. "The design of coastal shipping services subject to carbon emission reduction targets and state subsidy levels," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 192-211.
    6. Moon, Ilkyeong & Do Ngoc, Anh-Dung & Konings, Rob, 2013. "Foldable and standard containers in empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 107-124.
    7. George, David K. & Xia, Cathy H., 2011. "Fleet-sizing and service availability for a vehicle rental system via closed queueing networks," European Journal of Operational Research, Elsevier, vol. 211(1), pages 198-207, May.
    8. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship fleet deployment with container transshipment operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 470-484.
    9. 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.
    10. Mittal, Neha & Boile, Maria & Baveja, Alok & Theofanis, Sotiris, 2013. "Determining optimal inland-empty-container depot locations under stochastic demand," Research in Transportation Economics, Elsevier, vol. 42(1), pages 50-60.


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