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Analysis of three container routing strategies

Author

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  • Zhen, Lu
  • Wang, Shuaian
  • Zhuge, Dan

Abstract

As containers need several weeks to be delivered to their destinations and the future container shipment demand is uncertain, a myopic strategy for container routing that maximizes the immediate profit may lead to insufficient remaining capacity for transporting more profitable containers in the future. This study conducts a theoretical analysis to compare three container routing strategies, i.e., (i) a widely used myopic strategy, (ii) a non-myopic heuristic routing strategy that incorporates information about the future demand distribution, and (iii) a strategy that assumes future demand is known. Then a practical non-myopic heuristic container routing strategy is developed for practical purposes to increase the profit of liner shipping companies. Extensive numerical experiments show that the proposed non-myopic heuristic container routing strategy brings in an extra of 2%–3% profit over the myopic strategy.

Suggested Citation

  • Zhen, Lu & Wang, Shuaian & Zhuge, Dan, 2017. "Analysis of three container routing strategies," International Journal of Production Economics, Elsevier, vol. 193(C), pages 259-271.
  • Handle: RePEc:eee:proeco:v:193:y:2017:i:c:p:259-271
    DOI: 10.1016/j.ijpe.2017.07.011
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    References listed on IDEAS

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    1. 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.
    2. M. Avriel & A. C. Williams, 1970. "The Value of Information and Stochastic Programming," Operations Research, INFORMS, vol. 18(5), pages 947-954, October.
    3. Tran, Nguyen Khoi & Haasis, Hans-Dietrich, 2015. "An empirical study of fleet expansion and growth of ship size in container liner shipping," International Journal of Production Economics, Elsevier, vol. 159(C), pages 241-253.
    4. Qiang Meng & Shuaian Wang & Henrik Andersson & Kristian Thun, 2014. "Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions," Transportation Science, INFORMS, vol. 48(2), pages 265-280, May.
    5. Meng, Qiang & Lee, Chung-Yee, 2016. "Liner container assignment model with transit-time-sensitive container shipment demand and its applicationsAuthor-Name: Wang, Shuaian," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 135-155.
    6. Du, Yuquan & Chen, Qiushuang & Quan, Xiongwen & Long, Lei & Fung, Richard Y.K., 2011. "Berth allocation considering fuel consumption and vessel emissions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1021-1037.
    7. 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.
    8. Ng, ManWo, 2014. "Distribution-free vessel deployment for liner shipping," European Journal of Operational Research, Elsevier, vol. 238(3), pages 858-862.
    9. Chen Li & Xiangtong Qi & Chung-Yee Lee, 2015. "Disruption Recovery for a Vessel in Liner Shipping," Transportation Science, INFORMS, vol. 49(4), pages 900-921, November.
    10. Shin-Chan Ting * & Gwo-Hshiung Tzeng, 2004. "An optimal containership slot allocation for liner shipping revenue management," Maritime Policy & Management, Taylor & Francis Journals, vol. 31(3), pages 199-211, July.
    11. 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.
    12. Chen, Gang & Govindan, Kannan & Yang, Zhongzhen, 2013. "Managing truck arrivals with time windows to alleviate gate congestion at container terminals," International Journal of Production Economics, Elsevier, vol. 141(1), pages 179-188.
    13. Jianfeng Zheng & Ziyou Gao & Dong Yang & Zhuo Sun, 2015. "Network Design and Capacity Exchange for Liner Alliances with Fixed and Variable Container Demands," Transportation Science, INFORMS, vol. 49(4), pages 886-899, November.
    14. Yuquan Du & Qiushuang Chen & Jasmine Siu Lee Lam & Ya Xu & Jin Xin Cao, 2015. "Modeling the Impacts of Tides and the Virtual Arrival Policy in Berth Allocation," Transportation Science, INFORMS, vol. 49(4), pages 939-956, November.
    15. Ng, ManWo, 2015. "Container vessel fleet deployment for liner shipping with stochastic dependencies in shipping demand," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 79-87.
    16. 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.
    17. Sebastian Zurheide & Kathrin Fischer, 2012. "A revenue management slot allocation model for liner shipping networks," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 14(3), pages 334-361, September.
    18. Zheng, Jianfeng & Sun, Zhuo & Gao, Ziyou, 2015. "Empty container exchange among liner carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 158-169.
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