摘要
灾害发生时,及时配送应急救援物资能有效减少灾后损失,随着应急救援工作的开展,救援物资需求紧急程度会下降。因此,需要综合考虑救援进程来决定配送速率和费用之间的关系。讨论在不同紧急程度下,救援物资配送路线问题,构建基于配送时间和配送费用的多目标的车辆路径模型,以某地的应急救援案例为算例,采用遗传算法求解。结果显示,该模型和算法能为不同紧急程度的救援活动分配最优的配送路径,使配送完成时间和配送总费用形成比较合理的情况。
When disasters occur,timely delivery of emergency relief materials can effectively reduce post-disaster losses,and with the development of emergency relief work,the emergency level of demand for relief materials will decrease.Therefore,it is necessary to consider the rescue process to determine the relationship between the delivery rate and the cost.A multi-objective vehicle routing model based on distribution time and distribution cost is constructed.A case of emergency rescue in a certain place is taken as an example and solved by genetic algorithm.The results show that the model and algorithm can allocate the optimal distribution path for rescue activities with different emergency degrees,so that the completion time and total cost of distribution can form a reasonable situation.
作者
陈金迪
双海军
黄苏亭
CHEN Jindi;SHUANG Haijun;HUANG Suting(School of Management,Chongqing University of Humanities and Technology,Chongqing 401524,China)
出处
《物流科技》
2025年第11期50-53,共4页
Logistics Sci Tech
基金
2022年重庆市社会科学规划项目“基于应急物资动态需求的分配与运输策略集成优化研究”(2022PY59)
2022重庆市教委人文社科重大项目“双循环经济背景下农业产业供应链助推乡村振兴策略研究”(22SKGH492)
2021年重庆人文科技学院校级课题项目“基于需求变动视角的灾后应急物资运输与分配策略集成优化研究”(CRKRWSK202122)。
关键词
应急物资配送
紧急程度
改进遗传算法
emergency materials distribution
degree of urgency
improved genetic algorithm
