Author/Authors :
FAZEL ZARANDI, M. H. amirkabir university of technology - Department of Industrial Engineering - TEHRAN, تهران, ايران , TURKSEN, I. B. University of Toronto - Department of Mechanical and Industrial Engineering - TORONTO , MOATTAR HOSEINI, S. M. amirkabir university of technology - Department of Industrial Engineering - TEHRAN, تهران, ايران , BASTANI, S. alzahra university - Department of Social Sciences and Economics - TEHRAN, تهران, ايران , MOHEBI, A. amirkabir university of technology - Department of Industrial Engineering - TEHRAN, تهران, ايران
Abstract :
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 flexible and responsive supply chain systems are required. The next generation of supply chain systems must be agile. adaptive. cooperative, integrated and flexible. 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 verified and the results of the developed approach are discussed.
