See exactly where production time goes.
Go beyond a single OEE figure. Compare shifts week by week, drill from the biggest loss down to a single stop, and see the fault code and machine data that explain why it happened.
The answer was in the data. Nobody connected it.
An OEE number on the wall doesn't change behaviour.
Knowing which machine, which shift and which microstop pattern is pulling it down does. Inducloud turns OEE from a monthly report into a tool the floor uses every day.
From the OEE number to the root cause. In four clicks.
Click a line, then the biggest loss, then a single stop: you see its fault code and the machine data that explains it. Switch to the week overview to compare shifts day by day.
Performance reads 106 %: the standard is slower than the line. Measured 41.5 s per part against 44 s in the routing. Every quote built on 44 s under-books this line by about 6 %.
One tap at the moment it happens, instead of a shift's worth of entries typed in afterwards.
From signal to action, step by step.
Measure real cycle times, machine by machine.
Capture the microstops that vanish in summaries.
Log every stop automatically, with its fault code and sensor context.
Drill from the biggest loss to each stop, and from the stop to the root cause.
Compare shifts day by day, and put the league on the floor.
Use one definition of OEE across every site.
Measurable effect on the floor and in the P&L.
Turn OEE into a working tool. Start with one machine.
Then we scale on proof, not promises.