Smart Manufacturing – Predictive Maintenance
Problem
Lack of real-time status of critical assets and facility systems
High support labor costs due to manual inspection of hydraulic pumps, electrical panels and pressure valves
Inability to drill into critical systems without need to shut down operations and dispatch maintenance personnel
Actions
Implemented Predictive Maintenance and control systems to provide real-time status of critical assets
Integrated PLCs and embedded controls to track inputs and output throughout the facility
Provided drill-down capability into factory production systems
Results
- Automated predictive maintenance schedule using ML
- Reduced unplanned critical asset downtime by 10%
- 6% reduction in facility support labor
- Integrated critical asset monitoring across multiple regions
