Abstract
In recent years, manufacturing enterprises have faced overall ϐinancial stress due to market conditions and new forms of positive development. Excessive inter-company loans have led to the rupture of the capital chain among enterprises, resulting in developmental challenges. Studying the ϐlow of funds between enterprises, it is observed that ϐinancial risks bear similarities to the spread of infectious diseases like SARS. This paper employs the MATLAB data analysis environment, Python data analysis tools, and the SEIRS dynamic time-varying epidemiological model to investigate systemic risk transmission among enterprises. The analysis reveals that high-risk transmission rates, low-risk immunity rates, and low-risk isolation rates contribute to the rapid and uncontrollable spread of systemic risks among enterprises. Consequently, recommendations are made to strengthen market supervision, government intervention, and national regulation to ensure the safety of manufacturing enterprises.
