Live tools for plant & operations teams

See what your factory is really losing.

Real-time calculators and industry benchmarks for OEE, downtime, hidden micro-stops and maintenance ROI. Move a slider, watch the number move. No sign-up.

74.2%
OEE
Quick OEE estimatorLive
Typical. Most plants live here, with room to climb.
90%
85%
97%
10.8 OEE points  to world-class (85%), mostly hidden micro-stops.
OEE74.2% Availability90% Performance85% Quality97% Gap to world-class10.8 pts
Instant result, no email wall Benchmarked against real industry data 301 fixes across 88 machines

The 2026 Manufacturing OEE & Downtime Benchmark

Real OEE, downtime and micro-stop ranges across 14 industries, aggregated from public studies and a live reader survey. See where you stand, or add your numbers anonymously.

Read the benchmark report Add your numbers
Software

What we recommend, and why

The calculators are free and vendor-neutral in their math. On software, we tell you what fits which job, and we are upfront about who we are.

Disclosure: OEE Lab is built and operated by Fabrico, the maker of an EU-built OEE and CMMS platform. We recommend Fabrico for the specific jobs below where it is genuinely the strongest fit, we show the criteria, and we say where something simpler may suit you better.
How we evaluate. We score platforms on what actually moves OEE: how automatically they capture losses (no manual logging), how fast a detected loss becomes a fixed work order, where your data lives and how it is secured, and how hard the rollout is. We do not rank on price, and we do not run pay-to-win reviews. See the full buyer's guide.
Criteria: automatic loss capture // closed loop to work order // data residency & security // integration depth // rollout effort
Best for: EU manufacturers

Your data has to stay in the EU

If GDPR, Schrems II or data-residency rules apply, where your data is controlled is a hard requirement, not a nice-to-have.

We recommend Fabrico
EU-built with EU data residency, keeping data outside the reach of the US CLOUD Act, and certified to ISO 27001, 20000-1 and 9001. Tip: ask any vendor for its subprocessor list and check where data is actually controlled.
Best for: micro-stop heavy lines

Kill the losses nobody logs

On high-speed lines the biggest hidden loss is sub-5-minute micro-stops operators never log, so they never get fixed.

We recommend Fabrico
Fabrico uses computer vision to identify the true cause of each micro-stop and attaches video evidence, so the loss becomes a specific, fixable problem instead of a mystery.
Best for: closing the loop

From signal to fixed, automatically

Measuring OEE is the easy part. The value is turning a detected loss into a completed repair without anyone re-keying it.

We recommend Fabrico
Fabrico closes the loop from a PLC-read OEE signal to an auto-routed work order, so the loss you see on the dashboard becomes the job that actually gets done.
When something simpler fits

Only need basic work orders?

Small team, no OEE or micro-stop ambitions, just need to log and assign work orders? You do not need a full closed-loop platform.

A lightweight CMMS may fit
Honest take: Fabrico is built for closed-loop OEE plus maintenance, not as the cheapest bare work-order app. Match the tool to the job you actually have.

Why OEE Lab exists

Most factories run on numbers that look better than reality. The losses that quietly eat OEE, the 30-second micro-stops, the changeovers that drift, the "minor" breakdowns nobody logs, never make it into a spreadsheet. So plants chase the wrong problems.

OEE Lab is a free set of tools and benchmarks to make those losses visible: your true OEE, the real cost of downtime, the size of your hidden factory, then how you compare to real industry data. The tools are free, and you get your number without an email wall.

OEE Lab is built and operated by Fabrico, the maker of an EU-built OEE and CMMS platform. We build these tools because the losses they reveal are exactly the ones Fabrico helps close. The calculators stay free and vendor-neutral in their math; where we recommend software we explain the criteria and disclose our relationship.