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

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.