Evolutionary Model And Robustness Analysis Of Supply Chain Networks Based On Complex Networks

The development of economic integration and the advent of the internet era have both put forward new requirements for the market.Enterprises are no longer just participating in competition as a single individual in the market,but gradually participating in business operations and commercial transactions throughout the entire system as part of the supply chain.This poses new requirements for supply chain managers to study the dynamic evolution characteristics and anti-interference capabilities of supply chain networks,in order to master new methods and strategies to improve the operational efficiency and commercial benefits of supply chain networks.Based on the complex network theory,this paper improves the BA model on node entry,connection rules,and node exit,constructs a supply chain network evolution model,analyzes the node degree of the supply chain network evolution model,and simulates the evolution process of the four stages of the supply chain network: initial,upward,stable,and downward.The statistical analysis of the evolution results shows that the average path length and clustering coefficient of the supply chain network evolution model constructed in this paper are consistent with the empirical research results of the supply chain network,which proves the effectiveness of the model.Based on the simulation results,the characteristics of the supply chain network evolution process are analyzed,and the governance strategies for the entire process,initial stage,rising stage,stable stage,and declining stage are proposed.Based on the evolution model of supply chain networks,risk attacks on nodes and connections in the network are simulated.Two different evaluation indicators are set for the robust structural performance and robust efficiency performance of the supply chain network.Random attack and deliberate attack algorithm models based on two different objects,namely nodes and connections,are established to simulate the robustness performance changes of the supply chain network when subjected to risk attacks during different stages of evolution.A robust optimization strategy is proposed based on the performance changes of evolutionary models when faced with risk attacks.This study proposes evolutionary governance strategies for supply chain networks based on the establishment and analysis of supply chain network evolution models,providing management suggestions for the dynamic evolution management of supply chains in reality;Robustness analysis simulates the performance changes that occur when supply chain networks are subjected to different types of risk attacks during the evolution process.It analyzes methods to improve the robustness of supply chain networks and improve the system’s survivability,aiming to make the supply chain have a higher ability to withstand changes in the external environment,providing a reference for improving the operational ability of supply chain systems.