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Intelligent agents and risk based model for supply chain management
Intelligent agents and risk based model for supply chain management

Author(s): Ion Smeureanu, Gheorghe Ruxanda, Andreea Diosteanu, Camelia Delcea , Liviu Adrian Cotfas
Subject(s): Economy
Published by: Vilnius Gediminas Technical University
Keywords: risk based model; supply chain; intelligent agents; neural network; C02; D22;

Summary/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.

  • Issue Year: 18/2012
  • Issue No: 3
  • Page Range: 452-469
  • Page Count: 18
  • Language: English
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