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Ship route and speed multi-objective optimization considering weather conditions and emission control area regulations

Author

Listed:
  • Weihao Ma
  • Tianfu Lu
  • Dongfang Ma
  • Dianhai Wang
  • Fengzhong Qu

Abstract

The purpose of this paper is to design a route and speed optimization method to simultaneously reduce sailing cost and time, considering Emission Control Areas (ECAs) regulations and weather conditions. To solve it, the Non-dominated Sorting Genetic Algorithm (NSGA-II) was used to find the Pareto-optimal set, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to find the trade-off solution from the Pareto-optimal set. The proposed model was then applied to a service route around the US Coast, based on different fuel prices in ECAs. The results show that the proposed method can reduce the total sailing cost and time compared with other methods, and can help shipping companies effectively cope with fuel price fluctuations. Moreover, we also determined the best time interval for changing ship route and speed in terms of minimizing the sailing cost.

Suggested Citation

  • Weihao Ma & Tianfu Lu & Dongfang Ma & Dianhai Wang & Fengzhong Qu, 2021. "Ship route and speed multi-objective optimization considering weather conditions and emission control area regulations," Maritime Policy & Management, Taylor & Francis Journals, vol. 48(8), pages 1053-1068, November.
    • Handle: RePEc:taf:marpmg:v:48:y:2021:i:8:p:1053-1068
    DOI: 10.1080/03088839.2020.1825853
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    Cited by:

    1. Yui-yip Lau & Tsz Leung Yip & Maneerat Kanrak, 2022. "Fundamental Shifts of Cruise Shipping in the Post-COVID-19 Era," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    2. Jingwen Qi & Shuaian Wang, 2023. "LNG Bunkering Station Deployment Problem—A Case Study of a Chinese Container Shipping Network," Mathematics, MDPI, vol. 11(4), pages 1-14, February.

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