What is OEE, and why does it matter for every manufacturing plant?
If you've ever wondered "why aren't we producing as much as our machines say we should be able to", you were really asking about OEE (Overall Equipment Effectiveness). It's the one metric that rolls up the three biggest sources of manufacturing loss into a single, comparable percentage.
The classic formula
OEE is traditionally the product of three factors: Availability (how long the machine actually ran versus how long it could have run), Performance (how close it ran to its rated speed), and Quality (how many of the parts produced were good). Multiply the three together and you get the final OEE — a 100% OEE would mean the machine ran continuously, at full speed, producing only good parts.
Why a monthly production number isn't enough
A monthly or weekly summary on its own doesn't tell you where the capacity was lost. Was it lots of small, few-minute micro-stops? A long changeover? Planned maintenance eating into the schedule? Or was the machine simply running slower than its rated speed? Each of these calls for a completely different fix — but that detail usually disappears inside a month-end spreadsheet summary.
In practice: per machine, per shift, in real time
OEE only becomes a genuinely useful tool when it's visible during the shift, not calculated on paper afterwards — and broken down per machine, not just as a plant-wide average. That distinction matters, because a well-performing machine can easily hide the problem of an underperforming one inside a blended average.
That's why PlanitExo doesn't show a single OEE number, but four nested levels: how much was lost to unplanned downtime, how much to changeovers, how much to planned maintenance, and how much once every stoppage is counted. That breakdown immediately shows *which* type of loss is worth tackling first on a given machine.
The most common mistake: looking only afterwards
Most manufacturing plants we talk to already measure OEE in some form — just monthly, in a spreadsheet, based on manual data collection. By the time the data is compiled, whatever caused the drop in OEE has long since happened, and the details are gone. The point of real-time measurement is that a shift supervisor can spot a struggling machine during the shift and act on it — not discover it at month-end.
How PlanitExo helps
PlanitExo's shop-floor tablet logs production and downtime with a single tap, and shows a live OEE preview the moment it's recorded — both the operator and the shift supervisor immediately see where the shift stands. The same data is available in the office Dashboard, rolled up by machine, machine group, and plant, complete with trend charts.
Curious what this would look like for your own machine park — get in touch with us.