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Model Based on Bayesian Networks for Monitoring Events in a Supply Chain

  • Erica Fernández
  • Enrique Salomone
  • Omar Chiotti
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 338)

Abstract

The execution of supply process orders in a supply chain is conditioned by different types of disruptive events that must be detected and solved in real time. This requires the ability to proactively monitor, analyze and notify disruptive events. In this work we present a model that captures this functionality and was used as the foundation to design a software agent. A reactive-deliberative hybrid architecture provides the ability to proactively detect, analyze and notify disruptive events that take place in a supply chain. For the deliberative performance of the agent, a cause-effect relation model based on a Bayesian network with decision nodes is proposed.

Keywords

supply chain event management agent Bayesian Networks 

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Copyright information

© IFIP International Federation for Information Processing 2010

Authors and Affiliations

  • Erica Fernández
    • 1
  • Enrique Salomone
    • 1
  • Omar Chiotti
    • 1
    • 2
  1. 1.INGARCONICETArgentina
  2. 2.CIDISIUTN FRSFArgentina

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