Planned Maintenance Percentage
Planned Maintenance Percentage (PMP) is a reliability KPI measuring the share of total maintenance hours spent on proactively scheduled work versus reactive, unplanned work. It is calculated as PMP = (Planned Maintenance Hours / Total Maintenance Hours) × 100. A higher PMP indicates a more proactive maintenance strategy, reducing emergency breakdowns and improving equipment reliability.
In CMMS and shop floor operations, PMP tracks whether work orders for preventive (PM), predictive (PdM), or backlog corrective maintenance are identified, scheduled, and kitted 24–48 hours in advance versus executed as emergency breakdowns. It serves as a leading indicator for future Mean Time Between Failures (MTBF) and availability improvements. By monitoring PMP, maintenance teams can shift from reactive to proactive strategies, reducing downtime and costs. World-class operations target a PMP of 85–90% or higher, leveraging automated CMMS reports for accurate tracking.
- Low PMP (<70%): Teams spend most time reacting to failures, driving up costs and MTTR while reducing reliability.
- Unplanned 'Plan-as-you-go' work: Treating discovered backlog corrections as reactive instead of scheduling them, artificially lowering PMP.
- Ignoring CMMS reporting: Manual calculation without leveraging automated PMP reports in CMMS, leading to data errors and delayed insights.
What is the world-class PMP target?
The world-class PMP target is 85–90%+, with world-class operations reaching 90% or above.
Does PMP include corrective maintenance?
Yes, if the corrective task was discovered and queued into the backlog for future scheduled execution, not done as an emergency.
How does PMP relate to Reactive Maintenance %?
They are inverses; Reactive % = 100% – PMP, calculated as (Reactive Hours / Total Hours) × 100.
Why is PMP a 'leading' indicator?
Improvements in PMP often precede MTBF/availability gains by several months, signaling a shift to proactive maintenance before reliability metrics reflect it.