| With the effective prevention and control of COVID-19 in China,the state has entered the post epidemic era,and the demand for medical protective materials has changed from supply to demand balance.However,affected by many factors such as individuals,enterprises and the government,the market demand for medical protection materials has obvious uncertainty,coupled with the uncontrollability of the outbreak of the epidemic,the problem of insufficient supply of medical protection materials in the market may occur at any time,which is not only not conducive to the smooth development of domestic epidemic prevention and control,but also not conducive to the management of medical protection materials.Therefore,accurate prediction of the demand for medical protection materials in the process of epidemic prevention and control is the premise to ensure the effective development of epidemic prevention and control.On the premise of analyzing the development status of medical protection in the post epidemic era at home and abroad,according to the demand prediction theory and method,the demand for medical protection materials in the post epidemic era is analyzed,and the demand types of medical protection materials in the post epidemic era are determined.This paper analyzes the demand characteristics and demand data characteristics of medical protection materials in the post epidemic era,constructs the grey GM（1,1）model,the standard GM（1,1）-BP neural network combination model and the improved GM（1,1）-BP neural network combination model to predict the demand of medical protection materials in the post epidemic era,and simulates and verifies the prediction effect of each model combined with empirical analysis.The conclusion shows that the improved grey GM（1,1）-BP neural network combination model can reduce the influence of random factors on the prediction results and has higher prediction performance.The improved grey neural network combination model is used to predict the future demand for medical protection materials in the empirical area,and then according to the prediction results,relevant suggestions are put forward for the downstream,midstream and upstream enterprises in the industrial chain structure of medical protection materials.According to the data characteristics of the demand for medical protection materials in the post epidemic era,the improved grey neural network model combination model can be used to accurately predict the demand for medical protection materials,so as to provide decisionmaking basis for relevant enterprises in the industrial chain structure of medical protection materials to formulate reasonable production plans,so as to obtain considerable market benefits,At the same time,the supply and demand balance of medical protection materials in the market shall be guaranteed to the greatest extent. |
