Research On Scheduling Model Of Emergency Financial Funds In Major Epidemic Situation

The outbreak of the COVID-19 has seriously affected the emergency management system in China and has put forward higher requirements for the reserve and scheduling of emergency resources.How to optimize the emergency resources scheduling of major epidemic situation efficiently and realistically is a hot topic in the field of emergency management.However,the existing research on emergency resource scheduling mainly focuses on the effective scheduling of manpower and materials.There is a lack of research on the scheduling model related to emergency funds,while the research on emergency financial funds mostly provides qualitative suggestions from the perspective of policymaking.Based on this,this paper studies the scheduling model of emergency financial funds under the background of major epidemic situation.Based on the emergency resource scheduling theory,this paper will build an emergency financial funds scheduling model for major epidemic situation considering the uncertain demand of the affected areas and introduce the non-dominated sorting genetic algorithm with elite strategy(NSGA-Ⅱ)with high accuracy of optimization results to solve the model.By introducing the fund demand urgency index,this paper constructs the fund shortage minimization objective function considering the demand urgency,so as to strengthen the efficiency goal of emergency financial fund dispatching and consider the allocation proportion of emergency financial funds of governments at all levels.At the same time,the loss utility objective function is constructed to avoid the excessive pursuit of efficiency and the lack of relative balance to the goal of fairness.In the application of the model,taking the prevention and control of COVID-19 in China as the research background,the emergency financial funds demand and scheduling decision under the two scenarios of focusing on the treatment of patients diagnosed with COVID-19 and the construction of the prevention and control screening system of COVID-19 were considered respectively,so that the emergency financial funds scheduling results can better adapt to the actual decision-making scenarios.The application results of the model show that the constructed emergency financial funds urgency index can match the actual situation of the urgency of the affected areas,and the scheduling model can avoid serious funds shortage at each affected point on the premise of ensuring the efficiency target,effectively deal with the demand uncertainty and improve the fund demand satisfaction rate of all affected areas to the greatest extent.Based on the application analysis results,it is proposed that emergency financial funds scheduling should distinguish priorities based on urgency,increase preventive capital investment and broaden the source of emergency financial funds,and use big data technology to build an information collection and sharing platform for major epidemic situation.This paper constructs a scheduling model of emergency financial funds in major epidemic situation and the effectiveness of the scheduling scheme given by the model in dealing with uncertain demands and pursuing the efficiency goal is verified through the application of the model,which is a useful supplement to the existing emergency resources scheduling research.It is hoped that it can provide a new way for the efficient and fair scheduling of emergency financial funds and provide a theoretical and practical reference for the government emergency management department in making emergency financial funds scheduling decisions.