Self-organization evolution of supply networks: system modeling and simulation based on multi-agent

Authors:
Gang Li;Linyan Sun;Ping Ji;Haiquan Li
Affiliations:
The School of Management, Xi’an Jiaotong University, Xi’an, China;The School of Management, Xi’an Jiaotong University, Xi’an, China;Department of Industrial & Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong;The School of Computer, Xi’an Shiyou University, Xi’an, China
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Year:
2005

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Abstract

This paper demonstrates the self-organization evolution of distributed Supply Networks (SNs) based on fitness landscape theory. The environment and the internal mechanism are the origin of SN evolution. The SN emerges from the local interaction of the firms to fulfill the stochastic demands. The collaboration among firms is path dependence. The evolution of a SN is self-reinforcement and sensitive to initial conditions, which may lead to multiple equilibrium state and chaos. The evolution result is non-deterministic and can not be predicted precisely. The long-term strategy is better than short-term strategy for a firm in SN collaboration to adapt to the environment.