摘要
为实现灾区应急物资的高效配送,采用时空网络约束调度车辆,以各受灾点实际需求率最大、应急物资运输成本最低和车辆运输风险最小为目标,建立多目标应急物资调度规划模型,采用带精英策略的非支配排序遗传算法求解模型,最后通过实例验证。研究结果表明:洪涝灾害中,降雨量的增加会导致实际物资需求率、配送风险以及配送成本的增加,最大化实际物资需求率有助于提高物资利用率,减少物资成本并降低物资配送风险。研究结果可为灾前预防和灾中决策提供参考。
In order to realize the efficient distribution of emergency materials in disaster areas,a spatio-temporal network was used to constrain the scheduling of vehicles.Aiming at the maximum actual demand rate,the lowest transportation cost of emergency materials and the minimum transportation risk of vehicles at each disaster-affected site,a multi-objective scheduling planning model of emergency materials was established and solved by the non-dominated sorting genetic algorithm with elitist strategy,and the case verification was conducted.The results show that in the flood disaster,the increase of rainfall will lead to the increase of actual material demand rate,distribution risk and distribution cost,and maximizing the actual material demand rate helps to improve the material utilization,reduce the material costs and material distribution risk.The results can provide reference for pre-disaster prevention and disaster decision-making.
作者
张夏
王慧超
李泳暾
张江石
ZHANG Xia;WANG Huichao;LI Yongtun;ZHANG Jiangshi(Shanxi Coking Coal Huajin Coking Coal Co.,Ltd.,Lyuliang Shanxi 033000,China;School of Emergency Management and Safety Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China)
出处
《中国安全生产科学技术》
CAS
CSCD
北大核心
2023年第12期187-192,共6页
Journal of Safety Science and Technology
关键词
洪涝灾害
时空网络
应急物资调度
非支配排序遗传算法
实际需求率
flood disaster
spatio-temporal network
emergency materials scheduling
non-dominated sorting genetic algorithm(NSGA-Ⅱ)
actual demand rate