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A FUZZY INTELLIGENT INFORMATION AGENT ARCHITECTURE FOR SUPPLY CHAIN

Through the emergence of information and communication technologies and customer-oriented 
approaches in business and industry, for achieving competitive advantages and in order to remain 
at the top in every business, more 
exible and responsive supply chain systems are required. 
The next generation of supply chain systems must be agile, adaptive, cooperative, integrated 
and 
exible. Agent-based supply chain management is an approach that addresses the next 
generation of supply chain system features. This paper focuses on the role of an information 
agent in agent-based supply chain management within an uncertain environment. For this 
purpose, a proper modular architecture for the information agent, based on fuzzy theory, is 
proposed. Here, the knowledge-based module in the architecture is fuzzy rules. The system is 
used for updating forecasted values and implementing customer commitment in a proper manner. 
Finally, the proposed architecture is tested and veri ed and the results of the developed approach 
are discussed.