Agentes IA autónomos en la fábrica: de la teoría a la producción

Decision-making on the shop floor can no longer be based solely on experience or historical data. In increasingly complex production environments, the ability to simulate scenarios before executing them becomes a key competitive advantage. This session will address how to evolve from traditional planning systems to predictive manufacturing models, combining MES, APS, and discrete event simulation. Through a real case in the ceramic sector, it will be shown how to anticipate bottlenecks, optimize resources and improve operational planning. A practical vision of the next step: integrating simulation and artificial intelligence to transform industrial decision-making.