OEE software
OEE multiplies availability, performance and quality into one number. The number is trivial to compute and nearly useless on its own — the value is entirely in the loss breakdown underneath it.
| Topic | Key point |
|---|---|
| The number is the least useful part | Overall equipment effectiveness multiplies three factors: availability, performance and quality. |
| What to demand of the loss breakdown | Requirement Why it matters Automatic capture of stop events Manual downtime logging is incomplete and biased toward long stops Micro-stop detection Sh |
| How OEE programmes go wrong | The number becomes a target. Once OEE is reported upward, it can be improved by adjusting the ideal cycle time or by reclassifying stops as planned. |
The number is the least useful part
Overall equipment effectiveness multiplies three factors: availability, performance and quality. Any spreadsheet can compute it.
What makes it actionable is the loss breakdown underneath — which specific losses consumed the missing percentage, in what order of size. A single OEE figure tells you there is a problem. Only the loss tree tells you where.
So when evaluating OEE software, spend the time on the breakdown, not on the dashboard.
What to demand of the loss breakdown
| Requirement | Why it matters |
|---|---|
| Automatic capture of stop events | Manual downtime logging is incomplete and biased toward long stops |
| Micro-stop detection | Short stops are individually trivial and collectively often the largest loss; they are invisible to manual logging |
| Operator reason codes at the machine | A stop with no cause is a number, not a finding — and the reason must be captured while it is known |
| An agreed loss taxonomy | If two shifts code the same stop differently, the analysis is noise |
| Changeover treated separately | Planned changeover and unplanned breakdown are different problems with different owners |
| Speed-loss visibility | Running slow is the loss most often missed, because the line looks like it is working |
How OEE programmes go wrong
- The number becomes a target. Once OEE is reported upward, it can be improved by adjusting the ideal cycle time or by reclassifying stops as planned. Both raise the figure and change nothing physical.
- Comparing lines or plants. OEE is meaningful as a trend on one asset against itself. Cross-line comparison mostly measures differences in how the denominator was defined.
- Ignoring the denominator debate. Whether planned downtime, unmanned shifts and changeover count as available time changes the result enormously, and there is no universal right answer — only a documented local one.
- Measuring where there is no constraint. Improving OEE on a machine that is not the bottleneck produces more work-in-progress, not more output.
That last one is the most expensive and the least often said aloud.
Frequently asked questions
What is OEE software?
Software that captures machine state and production counts to compute overall equipment effectiveness — availability multiplied by performance multiplied by quality — and, more importantly, to break the losses down by cause.
What is a good OEE score?
The question is less useful than it looks. OEE depends heavily on how available time is defined locally, so cross-site comparison mostly measures definitional differences. Treat it as a trend on a single asset against its own history, with the loss breakdown as the real output.
Why do we need software rather than a spreadsheet?
For automatic capture. Manual logging systematically misses micro-stops and speed loss, which are frequently the largest components. If your losses are dominated by long, obvious breakdowns, a spreadsheet may genuinely be enough.
Can OEE be gamed?
Easily, once it is reported upward. Adjusting the ideal cycle time or reclassifying stops as planned both raise the number without changing anything physical. This is why the loss breakdown matters more than the headline figure.
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