基于云平台的突发公共安全事件下应急物流路径优化研究

公共安全事件事发突然,危害极大,往往会造成极大的生命财产损失.应急物资分配不当、协同运输效率低、救灾成本高、非营利组织处理应急物资能力不足等问题也为公共安全事件的防控带来一定的隐患.本文基于新冠疫情、河南洪涝等公共安全事件的处理经验,搭建基于云平台的应急物流模式,以减少由于信息不对称性所带来的成本,提高应急物资分配效率.通过具有君主方案的遗传算法对基于云平台的应急物流路径进行优化.样本网络数值表明,该云平台能降低运输时间,减少配送成本,找到物资最优配送路径,且具有较好的稳定性.

Research on Emergency Logistics Path Optimization of Public Safety Incidents Based on the Cloud Platform

Public safety incidents happen suddenly, serious harm, often causing numerous losses of life and property. The containment of public safety incidents was significantly affected by the unbalanced distribution of emergency supplies, low coordinated transport efficiency, high costs, and the inability of non-profit organizations to handle the emergency supplies efficiently. Based on the experience of COVID-19 and Henan Flood, built a cloud platform for emergency supplies distribution to reduce the asymmetry of emergency logistics information, reduce the costs, and improve the efficiency of emergency supplies distribution. The proposed method uses a genetic algorithm with the monarch scheme to optimize the urban emergency logistics path. The numerical results for sample networks show that using the proposed platform reduces the integrated cost and transportation time, finds the optimal distribution path and has good stability.