Research on Supply Chain Elasticity Modeling and Risk Mitigation Model Based on Big Data Analysis
Yiping Xu · 2024
An elastic modeling and risk mitigation method of supply chain based on big data analysis is proposed. The aim is to quantify the deformation characteristics of supply chain system by mathematical model, analyze its response behavior under the action of risk, and identify the critical state of system collapse. This paper constructs an elastic system model that comprehensively considers the interaction of all links in the supply chain, which can describe the dynamic changes of the supply chain in the process of risk loading and unloading, and predict the sensitivity and resilience of the system to external disturbances. By introducing the risk response function, people quantify the absorption and dispersion ability of the supply chain system to different types of risks, and then evaluate the stability of the system under risk shocks. The study reveals the threshold conditions of supply chain system collapse, and provides an early warning mechanism and decision support for risk managers. In order to verify the validity of the theoretical model, people use MATLAB simulation software to carry out a large number of simulation experiments, and the results show that the model can accurately predict the risk response behavior of the supply chain system, and guide the design of risk mitigation strategy in practice.