The project combines two systems to optimize process management using the PI System. Stop Management detects equipment stoppages, allowing users to justify them and automatically generate KPIs for usability and availability, which can be linked to performance and quality to create the OEE. In parallel, GPP identifies deviations caused by variables exceeding limits. Users can justify deviations, automatically creating a Pareto graph linked to the causes. Consecutive deviations generate anomalies, signaling more significant issues. By analyzing these patterns, users can take corrective actions to improve efficiency and reduce downtime. To enhance visualization, an SQC Graph was developed for PI Vision, incorporating statistical calculations and a histogram. This enables in-depth variable analysis, helping users detect trends, anticipate failures, and prevent unexpected stoppages, optimizing processes and decision-making.