Fix the condition that creates the recurring production loss.
Root cause analysis investigates recurring downtime, defects, failures, and process interruptions by tracing the event back through equipment condition, controls, process inputs, maintenance history, operating conditions, and previous corrective actions.
Measure failure and recovery in production terms.
Failure frequency, repair duration, spare parts, diagnostics, planned maintenance, and root causes all influence how much scheduled production time becomes reliable uptime.
Reduce repeat failures and shorten recovery.
The strongest maintenance improvements either make failures less frequent, make recovery faster, or prevent the same failure mode from returning.
CRIT-ADefine the Event Clearly
Start with the exact failure, defect, or loss condition rather than a broad symptom such as 'machine problem'.
Related Guide →CRIT-BUse Evidence Before Assumption
Alarm history, sensor trends, failed components, maintenance records, and operator observations help separate cause from coincidence.
Related Guide →CRIT-CLook for Repeat Mechanisms
Wear, contamination, overheating, misalignment, vibration, poor lubrication, loose connections, and logic faults can create recurring patterns.
Related Guide →CRIT-DVerify the Corrective Action
A cause is not truly controlled until the failure pattern changes after the corrective work.
Related Guide →Visualize reliability performance over time.
These diagrams focus on reliability trend and the operating cycle between failure, repair, verification, and return to service.
Reliability trend.
Track whether failures are becoming less frequent or repair time is shrinking after corrective work.
Maintenance loop.
Failure information should feed back into inspection, service, spare-parts planning, and corrective action.
Relevant maintenance and repair resources.
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