Research On The Distribution Of Emergency Materials Considering The Urgency Of Demand

As one of the natural disasters with the widest scope and the largest casualty loss in our country,flood disaster has become a problem that almost every city needs to face.Due to the special geographical location and natural climatic conditions,Zhengzhou is a high-risk area for flood disasters.The direct and indirect losses caused by the disaster have seriously hindered the orderly progress of local social activities.How to respond quickly to flood disaster has always been the research focus of emergency work.As an important part of emergency response,the allocation and distribution of emergency supplies can effectively improve the rescue efficiency and curb the further increase of disaster loss.Therefore,the reasonable distribution and rapid transportation of emergency supplies after disaster has become an indispensable subject in the study of emergency logistics.The thesis takes the optimization of emergency supplies distribution considering demand urgency under the background of flood disaster as the research object.First of all,it systematically discusses the demand characteristics of emergency materials after large-scale flood disasters,analyzes various factors that affect the urgency of the demand for materials in disaster-stricken areas after the disaster,and proposes that the disaster-affected area,daily precipitation,population density,number of deaths,materials Inventory and material demand are used as the evaluation indicators of the urgency of material demand at the disaster site,and then determine the weights through the analytic hierarchy process and entropy method,propose an improved Technique for Order Preference by Similarity method based on gray correlation to evaluate the urgency for demand.Secondly,in the three-level logistics network including material supply points,distribution centers and disaster-affected points,the Lingo software is used to solve the shortest path model with resistance coefficient between the distribution center and the disaster-affected points.The fairness of the disaster point and the timeliness of distribution are the goals,and a dual-objective optimization model with minimum material shortage and minimum distribution time turnover is constructed,and the genetic algorithm is used to solve the model.Finally,take Zhengzhou "7·20" flood as an example to conduct simulation research.Through the research on the distribution of emergency materials,the efficiency of emergency logistics can be effectively improved,which is conducive to better rescue work by the emergency management department after the disaster.