Software Agent to Proactively Detect, Analyze and Notify Disruptive Events in a Supply Chain

ERICA FERNANDEZ; ENRIQUE SALOMONE; OMAR CHIOTTI

Mar del Plata, Argentina

Congreso; 38a JAIIO Jornadas Argentinas de Informática, JII Jornadas de Informática Industrial; 2009

SADIO - Sociedad Argentina de Informática

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 ability to proactively monitor, analyze and notify disruptive events. To this aim, in this work we propose a software agentbased on a reactive-deliberative hybrid architecture that gives it ability to proactively detect, analyze and notify disruptive events that take place in a supply chain. For the deliberative performance of the agent, a model based on a Bayesian network with decision nodes is proposed.