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

FERNÁNDEZ, ERICA; ENRIQUE SALOMONE, HÉCTOR; CHIOTTI, OMAR

Jornada; Jornadas Argentinas de Informática e Investigación Operativa; 2009

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 agent based 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.