Reactive
Reactive Maintenance (Run to Failure)
When it happens: After the equipment fails.
Best for: Non-critical, inexpensive-to-replace equipment where failure has minimal production impact.
The cost of over-applying it: $50 billion in annual unplanned downtime across US manufacturing. Failure at the worst possible moment — peak production, minimum staffing, highest customer demand.
Checklist role: Corrective work order execution, root cause analysis, and CMMS documentation after the event.
Preventive
Preventive Maintenance (Scheduled)
When it happens: On a defined schedule — time-based (every 30 days), usage-based (every 10,000 cycles), or condition-based (when a measurement threshold is reached).
Best for: Most production-critical equipment with predictable wear patterns.
The value: Reduces failures by up to 70%. Enables scheduling maintenance during planned downtime rather than unplanned crises.
Checklist role: PM work orders generated on schedule, executed per defined procedures, with documented pass/fail results.
Predictive
Predictive Maintenance (Condition-Based)
When it happens: When sensors, monitoring data, or condition indicators show that failure is approaching — before symptoms are visible.
Best for: High-value, high-criticality equipment where maintenance cost is significant and early warning is detectable.
The value: Maximises equipment utilisation while preventing failure — maintenance happens when needed, not on a calendar.
The catch: Requires investment in sensors, monitoring systems, and analytical capability. Predictive maintenance adoption declined slightly from 30% to 27% between 2024–2025 as organisations discovered the infrastructure requirements.