一个应急条件下港口群物资优化调度模型

A Material Dispatch Optimization Model of Port Groups under Emergency Conditions

由于海域面积广阔、生存环境恶劣,单一港口供应能力有限,难以满足突发灾害事件时的大量应急物资需求。本文针对港口群应急物资协同调度问题,构建考虑运输成本和任务完成度的双目标规划模型,并设计求解该模型的NSGA-Ⅱ算法,通过港口群和陆上供应点的协同调度,满足应急物资快速可靠的运送需求。基于南海海区港口数据设计数值实验,对比了受灾顺序随机和受灾顺序确定两种情境下方案的鲁棒性。本文的研究结论对突发灾害事件港口群应急管理具有一定的指导意义。

Due to the vast sea area and adverse living conditions,when a natural disaster occurs in a sea area,the demand for emergency supplies is often urgent,numerous and in excess of the capacity of a single port.To solve the emergency material dispatching problem of port groups,a bi⁃objective programming model considering transportation cost and task completion ratio is proposed.And a Non⁃dominated Sorting Genetic Algorithm⁃II(NSGA⁃II)is designed.A numerical experiment is provided based on the data from the South China Sea,and the robustness of solutions under stochastic and deterministic scenarios is analyzed with different performance in terms of the probability of being affected by disasters.The findings are beneficial for emergency management of port groups in case of natural disasters.