摘要
为了提升水利工程事故应急物资调配的效率,构建综合考虑应急配送中心的应急物流能力和以总时间满意度最大为目标的应急物资调度双层模型,对应急物资调度过程进行优化。首先,根据改进的应急物流能力指标体系,对应急配送中心的应急物流能力做出评价并确定上层物资分配的权重;然后将降半哥西分布引入时间满意度函数可以综合考虑各事故点的受灾程度不同,提升物资分配的时效性与公平性。最后,根据实际水利工程事故设计算例,通过双层模型与传统模型的结果对比分析,验证该模型的有效性。结果表明:双层模型能够综合考虑实际的应急配送中心应急物流能力和各个受灾点不同的物资需求时间敏感度,得出总时间满意度最大且更为符合实际情况的应急物资调度方案。
In order to improve the efficiency of emergency supplies allocation for hydraulic engineering accidents,the bi-level model was established with considering the emergency logistics capability of the distribution center comprehensively and aiming to maximize the satisfaction of the total time.The emergency material scheduling process was optimized.Firstly,the emergency logistics capability index system was improved,which was used to evaluate the emergency logistics capability of the emergency distribution center,thus the weight of supplies allocation in the upper level was determined.Secondly,the descending semi-Cauchy distribution was introduced into the time satisfaction function,for taking into account the different disaster degree of each accident point comprehensively.And the timeliness and fairness of supplies distribution were also improved.Finally,the actual hydraulic engineering accident was used to design example,in which the validity of the two-layer model was verified by the results compared with the tradition.The results show that the actual emergency logistics capacity of the emergency distribution center and the time sensitivity of different supplies demand of each affected area are taken into account synthetically by the bi-level model,also the emergency supplies distribution solution is obtained,which has the maximum satisfaction of the total time and is more realistic.
作者
吴洋
孙开畅
冯继伟
WU Yang;SUN Kai-chang;FENG Ji-wei(College of Hydraulic&Environmental Engineering,China Three Gorges University,Yichang 443002,China)
出处
《科学技术与工程》
北大核心
2023年第9期3991-3996,共6页
Science Technology and Engineering
基金
国家重点研发计划(2017YFC0805100)。
关键词
应急物流能力
时间满意度
双层模型
应急调度
降半哥西分布
emergency logistics capability
time satisfaction degree
bi-level programming model
emergency scheduling
descending semi-Cauchy distribution