China Energy Investment Group
Faculty of Aerospace Engineering,Jilin Institute of Chemical Technology

为提升能源供应链适应性、可靠性,提出了一种应用于一体化煤炭供应链的智能调度优化模型。首先对调度策略进行研究,包括装卸平衡及港存安全研究,沿线分流策略研究,重车保留策略研究,减装车策略研究以及排船进港策略研究。其次建立数学模型并对模型进行分析,包括分流优化模型,重车保留优化模型,减装车优化模型,排船进港优化模型。最后实验验证了智能调度优化模型在供应链趋势预测中的准确性和有效性。该系统能准确模拟供应链运行,为智能决策提供参考,增强对突发事件的预测和应对能力。

In order to improve the adaptability and reliability of energy supply chain, an intelligent scheduling optimization model applied to integrated coal supply chain was studied. First of all, the scheduling strategy is studied, including the loading and unloading balance and port storage security, the diversion strategy, the heavy vehicle retention strategy, the reduction strategy and the vessel discharge strategy. Secondly, the mathematical model is established and analyzed, including the diversion optimization model, the heavy vehicle retention optimization model, the reduction vehicle optimization model, and the discharge ship entering the port optimization model. Finally, the experiment verifies the accuracy and effectiveness of the intelligent scheduling optimization model in the supply chain trend prediction. The system can accurately simulate the operation of supply chain, provide reference for intelligent decision-making, and enhance the ability of forecasting and coping with emergencies.

宇迪, 常旭东, 柳汀. 应用于一体化煤炭供应链的智能调度优化模型. 煤炭经济研究. 2024, 44(10): 166-175

YU Di, Chang xudong, LIU Ting. Intelligent scheduling optimization model applied to integrated coal supply chain. Coal Economic Research. 2024, 44(10): 166-175