Scheduling decision model of liner shipping considering emission control areas regulations

Several Emission Control Areas (ECAs) have been established to limit sulfur emissions from ships, thus influencing ship voyage planning. In this study, the authors used a mixed integer nonlinear programming model (MINLP) to reschedule ports-of-call sequences, ship route, speed, and bunkering strategy to minimize total sailing costs, defined as the sum of bunkering costs, time costs, and carbon emissions costs. An improved genetic algorithm, which introduced many strategies (Multi-layer coding strategy, Pre-search and tabu search strategy, Crossover strategy with a correction method, Mutation strategy based on 2-opt method, Elite strategy and Dynamic programming strategy) is designed to solve the proposed model. The proposed model was then applied to ECAs in North America under different fuel prices. The results show that the proposed method can reduce total sailing costs and help shipping companies effectively cope with fuel price fluctuations.

• Record URL:
  https://doi.org/10.1016/j.apor.2020.102416
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0141118720309755
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01411187
• Supplemental Notes:
  • © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Ma, Weihao
  • Hao, Shunfeng
  • Ma, Dongfang
  • Wang, Dianhai
  • Jin, Sheng
  • Qu, Fengzhong
• Publication Date: 2020

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 102416
• Serial:
  • Applied Ocean Research
  • Publisher: Elsevier
  • ISSN: 0141-1187
  • Serial URL: https://www.sciencedirect.com/journal/applied-ocean-research

Subject/Index Terms

• TRT Terms: Air quality management; Decision making; Exhaust gases; Liner shipping; Mixed integer programming; Regulations; Scheduling
• Identifier Terms: Sulfur Emission Control Areas
• Subject Areas: Environment; Freight Transportation; Marine Transportation; Planning and Forecasting; Policy;

Filing Info

• Accession Number: 01761705
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 3 2020 3:16PM