%0 Conference Proceedings %T Model Based on Bayesian Networks for Monitoring Events in a Supply Chain %+ Instituto de Desarrollo y Diseño [Santa Fe] (INGAR) %+ CIDISI %A Fernández, Erica %A Salomone, Enrique %A Chiotti, Omar %< avec comité de lecture %( IFIP Advances in Information and Communication Technology %B International Conference on Advances in Production and Management Systems (APMS) %C Paris, France %Y Bruno Vallespir; Thècle Alix %I Springer %3 Advances in Production Management Systems. New Challenges, New Approaches %V AICT-338 %P 358-365 %8 2009-09-21 %D 2009 %R 10.1007/978-3-642-16358-6_45 %K supply chain %K event management %K agent %K Bayesian Networks %Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers %X 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. %G English %2 https://inria.hal.science/hal-01055834/document %2 https://inria.hal.science/hal-01055834/file/03380353.pdf %L hal-01055834 %U https://inria.hal.science/hal-01055834 %~ IFIP %~ IFIP-AICT %~ IFIP-AICT-338 %~ IFIP-TC %~ IFIP-TC5 %~ IFIP-WG %~ IFIP-APMS %~ IFIP-WG5-7 %~ IFIP-2010