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Discrete Dynamics in Nature and Society
Volume 2014 (2014), Article ID 621341, 14 pages
http://dx.doi.org/10.1155/2014/621341
Research Article

Research on MAS-Based Supply Chain Resilience and Its Self-Organized Criticality

1School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China
2School of Science, Hubei University of Technology, Wuhan 430068, China
3School of Mechanical and Automotive Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China

Received 11 April 2014; Revised 11 June 2014; Accepted 28 June 2014; Published 23 July 2014

Academic Editor: Weihua Liu

Copyright © 2014 Liang Geng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Building resilient supply chain is an effective way to deal with uncertain risks. First, by analyzing the self-organization of supply chain, the supply chain resilience is described as a macroscopic property that generates from self-organizing behavior of each enterprise on the microlevel. Second, a MAS-based supply chain resilience model is established and its local fitness function, neighborhood structure, and interaction rules that are applicable to supply chain system are designed through viewing the enterprise as an agent. Finally, with the help of a case, we find that there is an agglomeration effect and a SOC characteristic in supply chain and the evolution of supply chain is controlled by parameters of MAS. Managers can control the supply chain within the resilient range and choose a good balance between interest and risk by controlling enterprises’ behavior.