The Research of Supply Chain Modeling Based on the Improved Complex Network Theory

In this paper, we analyze the characteristics of supply chain network based on the traditional complex network local-world evolving model. Through the study of the characteristics of supply chain network, found that the node uniform arrival process in traditional model is not adapted to the supply chain network model, so we use the Poisson distribution model. Using the correlation degree based on the distance between nodes we build a local world of each node in the network. Through the expression of the degree distribution, cluster coefficient and the average path length we find that these network model characteristics like scale-free a small-world. Finally, this paper using the modeling procedures, as well as network analysis software for improving the local-world evolving model empirical research, analyze the advantages of the complex network in the supply chain and outlook a complex network in the supply chain application prospects.