How to Build an OEE Dashboard
See where your line really loses capacity, on one screen. An OEE dashboard reads run state and counts straight from your machines and splits the score into availability, performance and quality, so your team fixes the biggest loss first. We build it with stop reasons your operators help design, at a fixed price, in weeks.
What an OEE dashboard shows you
An OEE dashboard is a live screen that scores how well a machine or line runs against its full potential. Overall equipment effectiveness (OEE) is a single percentage: availability multiplied by performance multiplied by quality. The full definition is in our OEE glossary entry.
The dashboard breaks that number into its three parts, so you see the loss and not just the score. Availability is the share of scheduled time the machine actually runs, after breakdowns and changeovers. Performance is how close it gets to rated speed. Quality is the share of good parts. Side by side, they point straight at the biggest loss.
A perfect 100% would mean only good parts, at full speed, with no stops. Nobody gets there. In discrete manufacturing, 85% is widely treated as a world-class benchmark, and plenty of plants sit far below it without knowing where the time goes.
Your team then works on the loss that costs the most, instead of guessing. See what a dashboard build costs.
Why an OEE number nobody trusts changes nothing
Most plants that measure OEE do it on a clipboard. An operator writes down stop times and reasons at the end of a shift, from memory, and someone types the sheet into a spreadsheet the next day. The number arrives late, incomplete and quietly rounded. Nobody acts on a figure they helped fudge.
Automatic capture fixes the trust problem. When the dashboard reads run state and counts directly from the machine, the short stops that clipboards miss finally show up. A line that looks busy can lose a third of its capacity to micro-stops that never made it onto a paper sheet.
Once those are on screen, the conversation moves from blame to the actual loss. Curious what your own line would show? Tell us what data it already produces.
A concrete example
A packaging line reports 92 percent availability, 78 percent performance and 99 percent quality. Multiply the three and its OEE is about 71 percent. On the clipboard the line looked fine, because every planned stop was accounted for.
The performance number tells a different story. It points straight at micro-stops: the two-second jams and starves nobody wrote down.
With that on a dashboard, the team knows where to look. They chase the micro-stops on the bottleneck station instead of asking finance for a faster machine. Performance climbs, and OEE with it, at no capital cost.
How we build your OEE dashboard
We capture OEE where it's honest: at the machine. Run state, counts and reject signals come in through OPC UA, MQTT, PLC logs or a counter your equipment already exposes. The dashboard shows availability, performance and quality on one screen, with the losses ranked underneath.
We design stop-reason logging with the operators who will use it, because a reason code nobody believes is a reason code nobody enters. The scope stays a dashboard, not a platform program: a few weeks at a fixed price, reading data you already produce.
Stop reasons can feed your custom CMMS software, so a recurring fault becomes a planned repair, and production scheduling software puts the capacity you recover to work. The custom manufacturing software overview shows how OEE connects to the rest of the floor.
Frequently Asked Questions
How is OEE calculated?
OEE is availability multiplied by performance multiplied by quality, expressed as a percentage. Availability is the share of scheduled time the machine runs, performance is how close it runs to rated speed, and quality is the share of good parts. A line at 92 percent, 78 percent, and 99 percent scores about 71 percent.
Where does the dashboard get its data?
Directly from your machines. We read run state, counts, and reject signals through OPC UA, MQTT, PLC logs, or an existing counter. Automatic capture surfaces the short stops a clipboard misses, which is usually where the hidden capacity loss lives. No controls rework is required.
What counts as a good OEE score?
In discrete manufacturing, 85 percent is widely treated as a world-class benchmark. Many plants sit well below it. The value of a dashboard is less the headline number and more seeing which of the three factors, availability, performance, or quality, is dragging it down.
Find out what your line's real OEE is
Tell us which line you want to measure and what data its machines already produce. You get a fixed scope, a fixed price and a delivery date in weeks.