Most CMMS platforms are built to close work orders. Reliability engineers need something more: a system that captures failure data in a structured way, supports RCM analysis, tracks MTBF and MTTR by asset class, and connects maintenance history to reliability programme inputs.
This guide explains what reliability engineers actually need from a CMMS — and how to evaluate whether a platform supports genuine reliability-centred maintenance or just repackages work order management with reliability-sounding terminology.
1. Failure Mode Coding and Cause Analysis
Structured failure codes (what failed, how it failed, why it failed) are the foundation of any reliability programme. A CMMS that enforces failure code capture at work order closure — with configurable code libraries aligned to ISO 14224 or your own taxonomy — turns every corrective work order into a reliability data point. Without this, you are running a maintenance tracking system, not a reliability programme.
2. MTBF and MTTR Calculation by Asset and Asset Class
Reliability engineers need MTBF and MTTR trends over time, not just point-in-time snapshots. A CMMS that calculates these metrics automatically from work order data — and allows drill-down by failure mode, maintenance type, and technician — eliminates the Excel-based reliability tracking that most plants still use.
3. Predictive Maintenance Data Integration
Condition monitoring data (vibration, temperature, oil analysis) needs to flow into the CMMS to trigger work orders before failure. A CMMS with open APIs and pre-built integrations for common condition monitoring systems (Emerson, SKF, Fluke) lets reliability engineers build PdM programmes without custom development.
4. Asset Criticality Classification
Reliability programmes prioritise based on criticality. A CMMS that supports criticality ranking (often using a risk matrix of consequence × probability) lets reliability engineers focus PM investment on assets where failure has the highest operational impact.
5. RCM and PM Optimisation Support
A CMMS should make it easy to review PM task lists, adjust frequencies based on actual failure history, and document the RCM rationale for each PM task. Look for: revision history on PM tasks, the ability to link PM tasks to specific failure modes, and easy bulk editing of PM schedules.
Fabrico is built for manufacturers who are moving beyond basic work order management toward a genuine reliability-centred maintenance approach. The platform includes structured failure coding with customisable failure mode libraries, automatic MTBF and MTTR calculation, asset criticality scoring, and an open API for condition monitoring integration. Reliability engineers at Fabrico customers use the platform to run quarterly PM optimisation reviews — using actual failure history to adjust PM frequencies rather than relying on OEM recommendations that may not reflect their operating conditions. Request a reliability-focused demo to see how the failure analysis and PM optimisation features work in practice.
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