2013•Journal of Information and Computational ScienceRequires access

The Modeling and Simulation of Supply Chain Based on Directed Complex Network

Lei Wen

Open publisher page 4 citations

Abstract

In recent years, the study of directed complex network is becoming a hot issue. Complex networks describe a wide range of systems. In this paper, based on the complex network theory, we find that supply chain network is clearly not a random network but a directed scale-free network. Statistic characteristics of the network model such as degree distribution, supply chain average shortest path and clustering in four different situations are studied. The result has showed the rule of supply chain, its power-law exponent of degree, clustering and average shortest path.

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What this paper is about

In recent years, the study of directed complex network is becoming a hot issue. Complex networks describe a wide range of systems. In this paper, based on the complex network theory, we find that supply chain network is clearly not a random network but a directed scale-free network. Statistic characteristics of the network model such as degree distribution, supply chain average shortest path and clustering in four different situations are studied. The result has showed the rule of supply chain, its power-law exponent of degree, clustering and average shortest path.

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Available abstract

In recent years, the study of directed complex network is becoming a hot issue. Complex networks describe a wide range of systems. In this paper, based on the complex network theory, we find that supply chain network is clearly not a random network but a directed scale-free network. Statistic characteristics of the network model such as degree distribution, supply chain average shortest path and clustering in four different situations are studied. The result has showed the rule of supply chain, its power-law exponent of degree, clustering and average shortest path.

Key concepts: Computer science, Supply chain, Supply chain network, Complex network, Supply chain management, Business, Marketing, World Wide Web

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