The Importance Evaluation of Weighted Supply Chain Network Nodes Based on Big Data Considering the Degree of Coupling and Coordination

Abstract

Through big data and computer intelligent software, it is possible to quickly and accurately calculate the supply chain coordination relationship between global enterprises, and due to comprehensively, quickly and objectively assess the importance and stability of each node in the supply chain network where the company is located in the wave of supply chain globalization, it is convenient for decision makers to effectively and accurately identify the key nodes in the supply chain network system, thereby improving the supply chain of the stability and sustainability of the network. The paper proposes an improved comprehensive evaluation method of weighted node entropy weight based on coupling coordination, supply chain and complex network theories, taking into account the coupling and coordination of nodes in the supply chain network system, as well as the importance and connection of nodes. The importance of edges. With the mining and support of big data technology, this improved method can comprehensively and objectively evaluate the importance of nodes in the supply chain network. Finally, taking 2827 companies as examples, the experimental results verify the rationality and effectiveness of the method.