Equipment reliability you can finally trust
Capture root cause, compute hour-accurate MTBF and MTTR with confidence, rank assets by business impact, trigger preventive maintenance in one click, and prove the fix held with frozen before/after baselines — all on top of the Odoo Maintenance you already run.
The problem
Equipment breaks, someone patches the symptom, and the same failure returns weeks later because nobody captured why it happened or measured whether the fix worked. Reliability KPIs like MTBF, MTTR, downtime and PM compliance get assembled by hand each month in spreadsheets nobody trusts, so the numbers get debated instead of acted on.
The solution
Equipment Reliability & Breakdown Analysis reads the maintenance data you already have, computes hour-accurate metrics with a confidence score, ranks every asset by true business impact, and lets you trigger preventive maintenance in one click — then freezes a before/after snapshot so you can prove the fix actually held.
Everything the reliability loop needs
Every capability below is implemented in the module.
Hour-Accurate MTBF & MTTR
Metrics are computed from actual failure and restoration timestamps, in hours, not whole days — precise enough to act on, not just report.
Confidence & Data-Completeness Scoring
Every MTBF, MTTR and availability figure carries a Low/Medium/High confidence level driven by how much failure data backs it, so nobody has to debate whether the number can be trusted.
Reliability Cockpit
One sortable, color-coded dashboard shows every asset’s MTBF, MTTR, downtime, PM compliance and business impact — no spreadsheet export or pivot work required.
Worst-First Ranking & Health Flags
Assets are automatically flagged Critical, Watch or Healthy and sorted worst-first, so the question “which asset do we fix first” has a defensible, computed answer.
Business-Impact Prioritization
Assets rank by downtime cost multiplied by failure likelihood, not cost alone — a sharper, more defensible “fix first” order than any threshold flag.
Structured Root-Cause Capture
Purpose-built fields for failure mode, downtime, production lost and cost turn breakdown data into something queryable and reportable instead of trapped in free-text notes.
One-Click & Bulk Preventive Maintenance
Launch a preventive maintenance request for one flagged asset or a whole batch straight from the cockpit, with duplicate protection that skips assets that already have an open PM request.
Frozen Before/After Proof
Reliability actions capture an immutable baseline before the fix and a result snapshot after, with an independent reviewer sign-off, so improvement is proven, not asserted.
Predictive MTBF Threshold Warnings
Assets trending toward a dangerous MTBF threshold are flagged before they fail, turning the dashboard from a monthly report into an early warning system.
How it works
Capture the breakdown
Record failure date, restoration time, failure mode and root cause the moment an asset goes down — linked to the equipment and maintenance request you already use.
Compute trusted metrics
Refresh the cockpit to get hour-accurate MTBF, MTTR, downtime, PM compliance and a confidence score for every asset, with overlap-safe downtime math.
Act on the worst asset first
Follow the business-impact ranking and embedded rationale to launch a one-click or bulk preventive maintenance request on the assets that matter most.
Prove the fix held
Open a reliability action, capture a frozen before baseline, do the work, then capture the after snapshot and get an independent reviewer sign-off on the improvement.
Frequently asked
No sales fog. If your question isn't here, email us and we'll answer it the same way.
No. It installs on top of Odoo Maintenance and reads the equipment and maintenance requests you already have — nothing is duplicated or replaced.
Buy it on the Odoo App Store
Purchase, download and install directly from the official Odoo Apps Store — you'll always get the latest supported build.
Equipment Reliability & Breakdown Analysis
Hour-accurate MTBF and MTTR from Odoo Maintenance data, worst-first ranking and structured root-cause capture — with frozen before/after proof that a fix actually worked.
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