INTELLIGENT AGENTS AND RISK BASED MODEL FOR SUPPLY CHAIN MANAGEMENT

Ion Smeureanu, Gheorghe Ruxanda, Andreea Dioşteanu, Camelia Delcea, Liviu‐Adrian Cotfas

Technological and Economic Development of Economy · 2012 · 16 citations · 9 references

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Abstract

This paper presents a software agent based framework's architecture for boosting performance in supply chain management applications. The framework is based on agent interaction and semantic web service composition. The purpose of such a platform is to develop flexible business applications for SCM transactions modeling, in collaborative and distributed economic systems. The interaction between agents is limited by a cybernetic model that takes into account several constraints one of the main being bankruptcy risk potential of the peer partner company.

References

9