The Statistical Feature Analysis and Simulation Study of Supply Chain Based on Fixed Spread Risk Probability
International Journal of Economics, Finance and Management Sciences
Volume 1, Issue 6, December 2013, Pages: 318-322
Received: Oct. 8, 2013; Published: Nov. 10, 2013
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Authors
Lei Wen, Department of Economics and Management, North China Electric Power University, Baoding 071003, China
Mingfang Guo, Department of Economics and Management, North China Electric Power University, Baoding 071003, China
Yachao Shi, Department of Economics and Management, North China Electric Power University, Baoding 071003, China
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Abstract
Understanding supply chain network are important for modeling the spread of risks in enterprise nodes. This study characterizes the supply chain risk network of the spread of several nodes. To identify the rule of the movement of risk nodes, several parameters describing these properties are measured (degree, risk, the number of risk nodes, average risk, average path length and average clustering). The simulation results indicate: (1) this risk network has small-world and scale-free property; (2) the basic topological characteristics on static network displayed a regular change; (3) the characteristics of the spread of risk is measured by risk distribution which obeys a double power law and average risk which has a negative correlation with the number of risk node. In summation, this paper tries to analyze the risk spread of several nodes in supply chain network from macroscopic perspective.
Keywords
Supply Chain, Complex Network, Risk Spread, Fixed Probability, Degree Distribution, Risk Distribution, Average Path Length, Average Clustering
To cite this article
Lei Wen, Mingfang Guo, Yachao Shi, The Statistical Feature Analysis and Simulation Study of Supply Chain Based on Fixed Spread Risk Probability, International Journal of Economics, Finance and Management Sciences. Vol. 1, No. 6, 2013, pp. 318-322. doi: 10.11648/j.ijefm.20130106.18
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