INVESTIGADORES
SALOMONE Hector Enrique
congresos y reuniones científicas
Título:
Model Based on Bayesian Networks for Monitoring Events in a Supply Chain
Autor/es:
ERICA FERNÁNDEZ; ENRIQUE SALOMONE; OMAR CHIOTTI,
Lugar:
Bordeaux
Reunión:
Conferencia; APMS2009, International Conference on Advances in Production Management Systems; 2009
Institución organizadora:
IFIP Working Group 5.7 on Integrated Production Management
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. To this aim, in this work we present a
model. Based on this model a software agent has been designed. 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.