TYRIS AI IS LEADER IN PREDICTIVE MAINTENANCE SYSTEMS WITH MACHINE LEARNING TECHNOLOGY.
The system creates predictive models to identify future breakdowns/failures in critical machine components before they occur, through automatic learning of production parameters. The main objective of the system is to increase machine availability, increase production and reduce uncontrolled downtime.
Metrics and Improvements
The system integrates the process data through access to the different information sources of the factory (Sensors, Databases, Automatons/PLCs, Maintenance Parts and Excel, CMMS Systems, MES, ERP, SCADA, etc.).
REDUCTION OF CRITICAL MACHINE FAULTS
The anticipated knowledge of the breakdowns allows, knowing the type of failure, the workpiece model and the corrective to apply in planned stoppages.
INCREASED MACHINE AVAILABILITY
The main objective is to increase the machines availability, increase production and reduce uncontrolled downtime.
INCREASE THE AVERAGE TIME BETWEEN FAULTS (MTBF)
Predictive analytics allows you to improve corrective operations, optimizes plannings and the management of spare parts helping to increase MTBF
REDUCED MAINTENANCE COSTS
The predictive system allows optimizing the main factors for the reduction of maintenance costs (Times, Resources, Components, etc.).