Asset Performance Management (APM)
Asset performance management is software and practices that maximise the reliability, availability and efficiency of physical assets over their lifecycle. APM combines condition monitoring, predictive analytics, work management and risk-based strategies.
APM platforms pull data from sensors, historians and maintenance systems to prioritise where to spend reliability effort. They extend beyond a CMMS by adding condition-based and predictive analytics, asset health scoring, and risk-based decision-making (which assets matter most if they fail). The aim is to balance reliability, cost and risk across an entire fleet of equipment.
Related reading
- Predictive maintenance: a practical guide
- AVEVA Predictive Analytics
- Siemens Senseye Predictive Maintenance
- Predictive Maintenance (PdM)
- EAM (Enterprise Asset Management)
- CMMS
Related terms
Predictive Maintenance (PdM) · EAM (Enterprise Asset Management) · CMMS · RCM (Reliability-Centred Maintenance) · Condition Monitoring · OPC (Classic)
Related guides
Software
AVEVA Predictive Analytics
Early-warning analytics for critical process and power assets.
Siemens Senseye Predictive Maintenance
Scalable predictive maintenance that learns from existing condition data.