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The optimal speed in container shipping: Theory and empirical evidence

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  • Wu, Wei-Ming

Abstract

By focusing on several critical speeds, this paper proposes a simple and applicable method to seek the optimal speed for carriers. The results show that carriers will reduce ship speed if the saved fuel cost outweighs the incurred capital and operating costs. The measure of critical fuel prices at different critical speeds is powerful to examine the optimal speed. Meanwhile, deploying extra ships and calling extra ports could be an optimal strategy for carriers in implementing slow steaming. The empirical result suggests that the optimal speeds for large ships will be higher than the ones for small ships.

Suggested Citation

  • Wu, Wei-Ming, 2020. "The optimal speed in container shipping: Theory and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    • Handle: RePEc:eee:transe:v:136:y:2020:i:c:s1366554519304053
    DOI: 10.1016/j.tre.2020.101903
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    References listed on IDEAS

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    1. 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.
    2. Jingbo Yin & Lixian Fan & Zhongzhen Yang & Kevin X. Li, 2014. "Slow steaming of liner trade: its economic and environmental impacts," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(2), pages 149-158, March.
    3. Jong-Kyun Woo & Daniel Seong-Hyeok Moon, 2014. "The effects of slow steaming on the environmental performance in liner shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(2), pages 176-191, March.
    4. Wang, Shuaian, 2016. "Fundamental properties and pseudo-polynomial-time algorithm for network containership sailing speed optimization," European Journal of Operational Research, Elsevier, vol. 250(1), pages 46-55.
    5. Shih-Chan Ting & Gwo-Hshiung Tzeng, 2003. "Ship Scheduling and Cost Analysis for Route Planning in Liner Shipping," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 5(4), pages 378-392, December.
    6. 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.
    7. 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.
    8. 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.
    9. Lee, Chung-Yee & Lee, Hau L. & Zhang, Jiheng, 2015. "The impact of slow ocean steaming on delivery reliability and fuel consumption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 176-190.
    10. Theo E Notteboom, 2006. "The Time Factor in Liner Shipping Services," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 8(1), pages 19-39, March.
    11. Christa Sys & Gust Blauwens & Eddy Omey & Eddy Van De Voorde & Frank Witlox, 2008. "In Search of the Link between Ship Size and Operations," Transportation Planning and Technology, Taylor & Francis Journals, vol. 31(4), pages 435-463, June.
    12. Christos Kontovas & Harilaos N. Psaraftis, 2011. "Reduction of emissions along the maritime intermodal container chain: operational models and policies," Maritime Policy & Management, Taylor & Francis Journals, vol. 38(4), pages 451-469, March.
    13. Michael Maloni & Jomon Aliyas Paul & David M Gligor, 2013. "Slow steaming impacts on ocean carriers and shippers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(2), pages 151-171, June.
    14. D Ronen, 2011. "The effect of oil price on containership speed and fleet size," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 211-216, January.
    15. Notteboom, Theo E. & Vernimmen, Bert, 2009. "The effect of high fuel costs on liner service configuration in container shipping," Journal of Transport Geography, Elsevier, vol. 17(5), pages 325-337.
    16. Wang, Shuaian & Meng, Qiang, 2012. "Sailing speed optimization for container ships in a liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 701-714.
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    3. Adland, Roar & Cariou, Pierre & Wolff, Francois-Charles, 2020. "Optimal ship speed and the cubic law revisited: Empirical evidence from an oil tanker fleet," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    4. Jin, Lianjie & Chen, Jing & Sheu, Jiuh-Biing & Zhou, Huixin & Jian, Yanchun & Yu, Bin, 2022. "Impacts of national strategies on gateway ports: An empirical study in the Bohai Rim," Transport Policy, Elsevier, vol. 117(C), pages 1-11.
    5. Riccardo Giusti & Daniele Manerba & Roberto Tadei, 2021. "Smart Steaming: A New Flexible Paradigm for Synchromodal Logistics," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
    6. Roar Adland & Pierre Cariou & Francois-Charles Wolff, 2020. "Optimal ship speed and the cubic law revisited: Empirical evidence from an oil tanker fleet," Post-Print hal-03422276, HAL.
    7. Yiwei Wu & Hongyu Zhang & Fei Li & Shuaian Wang & Lu Zhen, 2023. "Optimal Selection of Multi-Fuel Engines for Ships Considering Fuel Price Uncertainty," Mathematics, MDPI, vol. 11(17), pages 1-14, August.

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