Andreea Diosteanu

Intelligent agents and risk based model for supply chain management

Abstract This paper presents a software agent based frameworks 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.

Fractal web service composition framework

By using semantic web service composition, individual web services can be combined to create complex, but easily reconfigurable systems. Such systems can play a vital role in todays changing economic conditions, as they allow business to quickly adapt to market changes. Taking into consideration that manual web service composition is both time-consuming and error prone, the proposed framework uses a semi-automatic approach. The composition is done in a fractal manner as existing web service chains can easily be incorporated in new web service chains.