Research On Risk And Simulation Of Green Supply Chain Based On Complex Network

Against the background of the deteriorating natural environment and the increasing scarcity of resources,the transition from traditional supply chains to Green Supply Chain has become an inevitable trend.With the globalization of trade and markets.Supply Chain management is becoming increasingly complex and uncertainties are increasing,resulting in the risks faced by traditional Supply Chain as well as the risk of the overall "Greenness" of Green Supply Chain not reaching the standard,which will have an irreversible impact on the ecological environment and lead to This will have an irreversible impact on the ecological environment and lead to serious consequences such as reduced performance and Supply Chain disruption.Considering the complexity and meritocratic characteristics of Green Supply Chain,this study investigates the risks of Green Supply Chain based on Complex Network to improve the performance and "Greenness" of Green Supply Chain.Among them,"green degree" refers to the ability of enterprises in the chain to realize the green concept of"green win-win and sustainable development".This study is based on Complex Network to investigate the risks of Green Supply Chain.Firstly,the complexity and meritocratic characteristics in the operation of the Green Supply Chain are extracted,and the Green Supply Chain is abstracted as a complex network,in which suppliers,manufacturers and sellers are taken as node enterprises in the complex network,and the related associated activities such as logistics,information flow,capital flow and ecological flow between them are taken as the sides in the complex network,and A Green Supply Chain network based on risk subjects is constructed.Secondly,the Green Supply Chain risks are identified A Green Supply Chain network risk assessment system is established,A Green Supply Chain network based on risk indicators is constructed,and the risk indicators are assessed.Again,the GSC-SEIRS risk propagation model is established based on risk subjects,and the simulation of risk propagation in Green Supply Chain networks is realized through python,and the risk propagation in scale-free network is compared with the SEIRS model through parametric comparison simulation to obtain a comprehensive risk control and performance improvement strategy.Finally,the Green Supply Chain risk correlation analysis is carried out based on risk indicators,and a risk evolution model is established.Analyze the transmission relationship between risk factors,the causal feedback mechanism with risk control cost and performance,and analyze the change trend of Green Supply Chain risk factors over time and their impact on cost and performance under different scenarios through numerical simulation.In the context of the continuous development of Green Supply Chain,the study of risk assessment and risk propagation is important for targeted risk control as well as improving the environmental and economic performance of Green Supply Chain.This paper studies the Green Supply Chain risks from the perspective of Green Supply Chain subjects and risk indicators,and comes up with strategies to improve the performance and risk control of the Green Supply Chain network as a whole and each node enterprise,which can provide a certain reference basis for the improvement of the Green Supply Chain system.