INVESTIGADORES
CHIOTTI Omar Juan Alfredo
congresos y reuniones científicas
Título:
Model based on Bayesian Networks for Monitoring Events in the Supply Chain
Autor/es:
FERNÁNDEZ, ERICA; ENRIQUE SALOMONE, HÉCTOR; CHIOTTI, OMAR
Reunión:
Conferencia; Advances in Production Management Systems – Agent Modeling, Distributed Simulation and Control Frameworks for Production Management Systems; 2009
Resumen:
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.