Creating a Better World for Future Generations

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
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