Reactive Maintenance Philosophy
Preventive maintenance was scheduled by calendar (every 90 days) or meter-run (every 10,000 hours). This didn't account for actual failure patterns. Some equipment failed repeatedly despite preventive work; other equipment went long periods without issues.
What Became Visible
Downtime history + equipment condition data revealed that specific machines had predictable failure patterns: Machine X failed every 85-90 days; Machine Y every 120 days; Machine Z every 60 days. Patterns were consistent and predictable, not tied to calendar schedules. Condition monitoring (vibration, temperature, pressure) provided 2-3 day advanced warning before failure.
Predictive Maintenance Scheduling
Maintenance scheduled based on predicted failure date (historical pattern + real-time condition monitoring) rather than fixed intervals. Preventive work scheduled 2-3 days before predicted failure, during low-production periods when possible.
How it worked: Historical downtime patterns + real-time equipment condition data enabled prediction of failure 2-3 days in advance, enabling just-in-time preventive maintenance.
Results
via predictive maintenance
actually prevent failures
from preventive effectiveness
Fixed-interval maintenance is guesswork. Failure patterns are predictable. Predictive maintenance scheduled 2-3 days before predicted failure prevents 60%+ of breakdowns.
Operational Reality
This didn't require new equipment—just systematic analysis of downtime history and real-time condition monitoring.