Reliability engineering software that turns failures into patterns
Automatic MTBF, MTTR, and OEE, Pareto failure analysis that pinpoints the few causes behind most downtime, and PM optimization that shifts you from reactive firefighting to predictive maintenance.
Reliability metrics that calculate themselves
MTBF, MTTR, and OEE come straight from your work-order and failure data - no spreadsheets, no manual tallies - so you always know which assets are actually dragging uptime down.
Find the few causes behind most of the downtime
Pareto and root-cause analysis rank failure modes by impact, so you fix the three problems causing 80% of the downtime instead of chasing every one-off.
Tune the PM program with evidence
See which PMs prevent failures and which just burn labor on healthy equipment, then optimize intervals - shifting the mix from reactive firefighting to planned, predictive work.
MTBF, MTTR, and OEE without the spreadsheet
Reliability metrics are only useful if they’re current, and hand-tallied numbers never are. AssetLab calculates MTBF, MTTR, OEE, and uptime automatically from your work orders and failure records, trended over time - so you spot the asset dragging the line down before it becomes a pattern.
- MTBF, MTTR, OEE, and uptime calculated automatically
- Trended over time, per asset and per class
- Benchmarked across equipment to find the worst actors
- Always current - no manual tallies
The three causes behind most of the downtime
Treating every failure as a one-off spreads your effort thin and fixes nothing for good. AssetLab’s Pareto and root-cause analysis rank failure modes by the downtime they actually cause - so you can see that a handful of causes drive most of the losses and attack those first.
- Failure modes ranked by downtime impact
- Pareto analysis surfaces the vital few
- Root-cause tracking ties failures to their source
- Effort focused where it moves the needle
From reactive firefighting to planned work
Some PMs prevent failures; others just consume labor on healthy equipment. AssetLab shows which is which, so you can tighten the intervals that matter, drop the ones that don’t, and shift the maintenance mix toward planned, predictive work that keeps assets running.
- See which PMs actually prevent failures
- Optimize intervals by evidence, not habit
- Shift the mix from reactive to planned
- More uptime from the same crew
And everything else you’d expect
“Being able to look at a work order and see it in the context of the broader asset lifecycle, or to plan a capital replacement while already seeing the maintenance history behind it, has made me a sharper and more focused manager. I'm not toggling between systems anymore. I'm working in one place, with the full picture in front of me.”
Engineer the Reliability.
Out of the Data.
Bring MTBF, failure analysis, and PM optimization into one system - and move from reacting to failures to engineering them out.
No credit card required
Reliability Engineering Software FAQ
Common questions about MTBF/MTTR tracking, OEE, Pareto failure analysis, and PM optimization for reliability engineers.
What is reliability engineering software?
It’s the analytics layer of a CMMS - turning work-order and failure history into reliability metrics, failure-mode analysis, and PM optimization, so you engineer failures out instead of reacting to them.
Does AssetLab calculate MTBF and MTTR automatically?
Yes. Reporting derives MTBF, MTTR, uptime, and OEE directly from work orders and failure records and trends them over time - so the numbers are always current instead of stale spreadsheet tallies.
What is Pareto failure analysis?
It ranks failure modes by the downtime they actually cause, exposing the “vital few” - typically a handful of causes drive most losses. Combined with risk and criticality, it tells you exactly where to focus engineering effort.
Can AssetLab help optimize a PM program?
Yes. By tying failures back to assets and PMs, AssetLab shows which preventive maintenance is preventing failures and which is just consuming labor - so you tighten the intervals that matter and drop the ones that don’t.
Does AssetLab track OEE?
Yes. OEE - availability, performance, and quality - is tracked on dashboards alongside reliability metrics, so you can see the full picture of equipment effectiveness and where it’s slipping.
How does AssetLab support root cause analysis?
A consistent failure-code library captured on every work order builds the history root-cause analysis needs - so recurring problems are visible as patterns against the asset, not buried in free-text notes.