JSS  Vol.3 No.1 , January 2015
Simulation of Game Model for Supply Chain Finance Credit Risk Based on Multi-Agent
Author(s) Yueliang Su, Nan Lu*
ABSTRACT
Supply chain finance is an efficient method to solve SME’s financing problem. A core issue is to simulate the supply chain finance system’s real operations. To solve the problem, this paper designs a simulation model for supply chain finance based on Simon’s bounded rationality with multiagent simulation technique instead of absolute rationality. The influences of the behaviors of bank, SME and warehousing company on credit risk of the supply chain finance are simulated and managerial insights are given. The research can help to reduce credit risk of bank loan while increasing the supply chain system’s benefit.

Cite this paper
Su, Y. and Lu, N. (2015) Simulation of Game Model for Supply Chain Finance Credit Risk Based on Multi-Agent. Open Journal of Social Sciences, 3, 31-36. doi: 10.4236/jss.2015.31004.
References
[1]   Berger, A.N. and Asli, D.K. (2004) Bank Concentration and Conference: An Evolution in the Making a Conference Sponsored by the Federal Reserve Bank of Cleveland. Journal of Money, 6, 433-451. http://dx.doi.org/10.1353/mcb.2004.0040

[2]   Busch, L. (2008) Supply Chain Finance: Flexibility and Ease of Implementation. Institutional Investor-International Edition, 1, 18-19.

[3]   Kerr, J. (2006) Streamlining the Cash Flow. Supply Chain Management Review, 10, 25-31.

[4]   Camerinelli, E. (2009) Supply Chain Finance. Journal of Payments Strategy & Systems, 3, 114-128.

[5]   Buzacott, J.A. and Zhang, R.Q. (2004) Inventory Management with Asset-Based. Financing Management Science, 50, 1274-1292.

[6]   Ma, J. (2008) Financing Model Analysis and Risk Control of Supply Chain Finance. Ph.D. Economics Thesis, Tianjin University, Tianjin.

[7]   He, Y.Q. and Guo, T.T. (2010) Game Model Analysis of SMEs Financing Behavior Based on Supply Chain Financing Modes. Journal of Nanchang University (Engineering& Technology), 6, 183-187.

[8]   Wan, H.D. (2008) Supply Chain Finance Risk Model Analysis Study. On Economic Problems, 11, 109-111.

[9]   Axelrod, R. (2007) The Evolution of Cooperation. Revised Edition, Wu J. Z. Shanghai People’s Publishing House, Shanghai.

[10]   Zhang, T., Sun, L.Y. and Fang, C. (2002) A Study of Simulation in Repeated Game Based on the Evaluation of the Cu- mulative Aspiration Tense. Systems Engineering, 3, 87-91.

[11]   Liu, J.J. and Wang, J.Y. (2007) Research of Simulation in Evolutionary Game Based on Multi-Agents. Computer & Digital Engineering, 4, 1-3.

[12]   Friedman, D. (1991) Evolutionary Games in Economics. Econometrics, 5, 637-666.

 
 
Top