Simulating a State of the Art Agent Based System with Fuzzy Reasoning for Supply Chain Coordination

Volume 1, Issue 4, pp 293--304 http://dx.doi.org/10.22436/jmcs.001.04.06

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Authors

A. Shemshadi - Postgraduate student at the department of information technology & industrial engineering, K. N. Toosi University of Technology, Tehran, Iran H. Shirazi - Associate Professor at the department of information and communication technology, Malek Ashtar University of Technology, Tehran, Iran M. J. Tarokh - Associate Professor at the department of information technology & industrial engineering, K. N. Toosi University of Technology, Tehran, Iran

Abstract

With the emergence of high speed wireless networks and parallel advancements in Internet based technologies such as the Semantic Web, Web Services, Multi Agent Systems, and Context Awareness, the realization of the vision of the intelligent wireless web (IWW) has become a possibility. On the other side, recent developments in the field of multi criteria decision making, have led us to more accurate and applicable algorithms. In this paper, we are going to summarize the details and results of a multidisciplinary agent based software, namely SWESS that enables real-time supply chain coordination through taking advantage of different methods of different scientific areas such as computer science, supply chain management and multi criteria decision making.

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Keywords

• Supply chain coordination
• supply chain management
• multi-criteria decision making
• multi agent systems
• artificial intelligence

MSC

•  68T42
•  68T99

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