散杂货港口多资源协同调度优化研究

Research on Multi-Resource Collaborative Scheduling Optimization of Bulk Cargo Ports

为提高散杂货港口的资源利用率,减少船舶在港时间,提升港口利润。在综合考虑泊位、机械以及堆场等环节相互影响的前提下,以港口利润、吞吐量、船舶总在港时间、泊位利用率以及运输机械行驶距离为优化目标,构建多目标多资源协同调度优化模型,使用遗传算法进行求解。通过散杂货港口的历史数据进行测试,实验结果表明该模型在散杂货港口的作业调度上较人工调度有更佳表现。

In order to improve the resource utilization rate of bulk cargo ports,shorten the time of ships in port,and improve port profits,a multi-objective and multi-resource collaborative scheduling optimization model is established in this paper,considering the interaction between berths,machinery,and yards,and optimizing port profit,throughput,ship time,berth utilization rate and driving distance.The model using genetic algorithm is solved.Through the historical data of bulk cargo ports test,the results show that the model performs better than manual dispatching in the scheduling of bulk cargo ports.