Research On Scheduling Models Of Emergency Medical Supplies Under The Major Infectious Diseases

In recent years,the outbreak of a number of major infectious diseases has posed a serious threat to the economic development and people’s lives of countries around the world because of their long duration,wide spread,high degree of harm and difficulty in prevention and control.Emergency management of infectious diseases has become the main issue of public health safety prevention in all countries.However,due to the suddenness and uncertainty of the epidemic,people often cannot predict the time and intensity of the outbreak.Therefore,in the process of emergency dispatching,the shortage of emergency medical supplies often occurs due to the lack of material production and reservation or the delay of dispatching.At the same time,with the change of epidemic intensity and spread scope,emergency supplies dispatching of infectious diseases often involves multiple dynamic cycles.In the face of dynamically updated epidemic data,ensuring the timeliness and fairness of material dispatching can effectively control the spread of infectious diseases and reduce the loss of life and economy caused by infectious diseases.Therefore,this paper will study the allocating and scheduling of emergency medical supplies after the outbreak of major infectious diseases.The main research ideas and contents of this paper are as follows:Firstly,starting from the concept,characteristics and process of infectious disease emergency logistics,this paper analyzes the main differences between infectious disease emergency logistics and natural disaster emergency logistics,and introduces the relevant theories of infectious disease emergency medical supplies scheduling.On this basis,nine indicators were selected from the three dimensions of epidemic spread risk,emergency response capacity and epidemic spread intensity to construct the evaluation index system of emergency priority of the epidemic area,and the entropy-topsis method was used to evaluate the emergency priority of different epidemic areas in different dispatching cycles.Secondly,this paper analyzes the difference of decision-making mechanism and content of emergency material dispatching when the total supply is greater than the total demand and the total supply is less than the total demand.Based on the three-level supply network of supply points,transfer points and demand points,and considering the impact of emergency priority on the quantity of material allocation,the time of material scheduling and the order of vehicle loading,this paper builds static scheduling models for single category of emergency medical supplies under two kinds of supply and demand scenarios,and designs genetic algorithm to solve them.Thirdly,considering the dynamics of material supply and demand,a hybrid dynamic dispatching model for multi-category emergency medical supplies was established based on the single-category emergency dispatching model and two supply and demand scenarios.The dynamic scheduling model takes the optimization of emergency response time and material satisfaction rate as the goal,and considers vehicle capacity,loading capacity,node processing capacity,supply and demand update,flow direction and other constraints.It can realize the comprehensive decision of the facility selection of emergency transfer points,the distribution of emergency medical supplies and the scheduling scheme within the scheduling cycle.This paper designs genetic algorithm to solve the problem.Finally,based on the COVID-19 epidemic case in Hubei Province in 2020,the single-category and multi-category scheduling model constructed in this paper was verified by numerical examples,and sensitivity analysis of some parameters in the model was carried out to verify the rationality of the model.There are 24 figures,39 tables and 96 references in this dissertation.