Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24–26, 2024, Jinan, China

Research Article

Optimization of Liner Shipping Scheduling Design under Demand and Carbon Trading Price Uncertainty

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  • @INPROCEEDINGS{10.4108/eai.24-5-2024.2350063,
        author={Jie  Wang and Linjiang  Xie},
        title={Optimization of Liner Shipping Scheduling Design under Demand and Carbon Trading Price Uncertainty},
        proceedings={Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24--26, 2024, Jinan, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2024},
        month={10},
        keywords={container liner shipping shipping schedule design mixed-integer nonlinear programming demand uncertainty carbon trading price uncertainty stochastic optimization},
        doi={10.4108/eai.24-5-2024.2350063}
    }
    
  • Jie Wang
    Linjiang Xie
    Year: 2024
    Optimization of Liner Shipping Scheduling Design under Demand and Carbon Trading Price Uncertainty
    MSEA
    EAI
    DOI: 10.4108/eai.24-5-2024.2350063
Jie Wang1, Linjiang Xie1,*
  • 1: Dalian Maritime University
*Contact email: xielinjiang0911@163.com

Abstract

This study focuses on optimizing the design of liner shipping schedules in the context of demand uncertainty and carbon trading price volatility The operations and cost control of liner shipping companies face challenges due to the strengthening of environmental protection regulations and changes in the global trade environment. This study constructs a mixed-integer nonlinear programming model that comprehensively cons、iders demand and carbon trading price uncertainties, aiming to optimize the liner shipping schedule for both economic and environmental optimization. This paper focuses on the routes operated by liner shipping companies, employing the scenario method of stochastic programming to transform and solve the shipping schedule design model under dual uncertainties. An illustrative analysis of the EPIC-2 route operated by the French CMA CGM liner shipping company is conducted to validate the effectiveness of the model and solution method. The results indicate that considering the uncertainties in demand and carbon trading prices allows for more rational scheduling of ships to adapt to market demand changes and achieve a reduction in total operational costs. The conclusions of this paper can provide scientific decision-making references for shipping enterprises under volatile markets and low-carbon regulations, thereby promoting the sustainable development of the shipping industry.