A Dynamic Equilibrium For Warp Knitting Supply Chain Network By Considering Supply Chain Viability In The Context Of COVID-19

At the end of 2019,the COVID-19 broke out,and the global supply chain was affected by the risk of COVID-19 epidemic,which led to fluctuations in the price of raw materials,reduced production and supply capacity,and fluctuations in market demand.The main problems faced by the global supply chain were the transmission mechanism of the epidemic risk and the Survivability of the supply chain.Therefore,this study focuses on the spread of risks in the supply chain network during the epidemic and the Survivability supply chain network equilibrium.This article uses empirical research methods to obtain the price fluctuation mechanism of chemical fiber raw materials,and uses Stackelberg game theory to construct a corporate behavior decision-making model to make the optimal decision.Using the elasticity coefficient theory of economics,analyze the transmission mechanism of pneumonia epidemic risk from three perspectives: raw material price fluctuations,manufacturer supply capacity,and market demand fluctuations.On this basis,the supply chain network case of Haining Warp Knitting Park in northern Zhejiang is studied,and a supply chain network composed of N manufacturers under the influence of the COVID-19 is constructed,where manufacturers produce homogeneous products and sell them through retailers.There can be cooperation between manufacturers,and the optimal solution of supply chain network equilibrium is solved by using variational inequality.Through the numerical simulation method,the impact of network structure,network adjustment ability,and capacity adjustment ability on the Survivability and overall performance of the supply chain is studied and analyzed.