Best Operator Benchmark
The Best Operator Benchmark is the line's best plausible day, synthesised from your own best operators' times for each stop cause. It is an empirical maximum from your own floor rather than a textbook target. The gap between it and today's OEE is capacity the line has already proven it can reach, with the equipment, products and people it has now.
What it is
Standard OEE sees a machine; it never sees the person running it. Yet the operator decides how fast a stop is noticed, how many are cleared without help, and whether a changeover keeps to its standard. Across a shift those decisions are the difference between a good day and an ordinary one. The Best Operator Benchmark measures that difference. For every stop cause on the line, it takes the fastest operator's typical time, combines them, and asks what the line's OEE would have been if every stop had been handled the way the best operator handles that cause. The answer is a benchmark nobody can argue with, because a colleague has already met every part of it.
Source: Augos Factory method, Glossary: Best Operator Benchmark
Why your own best beats a textbook
A benchmark such as 85% OEE describes discrete manufacturing somewhere else, calculated by someone else's formula. It cannot say whether your changeovers are tight or your cleaning regime is sensible, and a crew told to hit it has every reason to doubt it. A benchmark built from the line's own best runs has none of those problems. It was achieved on this equipment, with these products, by people in this room. It is also honest about ceilings: a line whose best operator still loses forty minutes a shift to raw-material waits has a benchmark that includes those waits, and the Owner column says they belong to planning. What is a good OEE? covers the published benchmarks and where they come from.
How it is built
Four steps, all of them from measured events.
| Step | What happens |
|---|---|
| 1 · Attribute | Every stop is tied to the operator logged in at the Augos Operator Terminal. Stops with nobody logged in fall into an unassigned pool and are not attributed to anyone. |
| 2 · Clean | For each stop cause, extreme events are removed by the inter-quartile range rule, so one catastrophic stop does not set anyone's baseline. |
| 3 · Benchmark | For each cause, the median duration is the Typical Time, the median minus the median absolute deviation is the Recommended Time, and the best operator's median is the Best Operator time. |
| 4 · Synthesise | The line's actual stops are re-costed at the best operator's time for each cause. The result is the Best Operator day; the difference from the actual day is the recoverable gap, in minutes and in OEE points. |
Source: Augos Factory method, outlier and benchmark rules; Glossary: Typical Time and Recommended Time, Outlier (IQR method)
One fault, four operators
On the beverage packaging line used across the method pages, one recurring fault at a single station halted the line 50 times in one month in 2026. The line's Typical Time for that cause was 6.1 minutes; the fastest quarter of stops cleared in 4.0. Four operators handled it.
| Operator | Stops handled | Median clearance | Graded |
|---|---|---|---|
| A | 40 | 5.5 min | Yes |
| B | 5 | 12.8 min | No: fewer than 10 events |
| C | 4 | 11.6 min | No: fewer than 10 events |
| D | 1 | 3.0 min | No: fewer than 10 events |
Operator A is the benchmark for this cause: 5.5 minutes, from forty events. Operator D's three-minute clearance is faster but is a single event and is not graded. Operators B and C clear the same fault in roughly twice A's time, but on four and five events each the platform withholds a grade and flags the cells; a median of five is not a verdict. What it does show the supervisor is where to look: if B and C take this fault more often next month and the gap holds, a specific, teachable difference exists in how A clears it. At the Recommended Time of 4.0 minutes the fifty stops would have cost 3.3 hours instead of 7.7.
Source: Augos platform, Unplanned Stoppage analysis, one anonymised beverage line, a 30-day month in 2026
The gap on a whole line
Repeated over every cause, the same arithmetic gives the line's gap. In the month, this line's Operator Resolution across all declared stops had a Typical Time of 7.1 minutes and a Recommended Time of 3.4 minutes; 51 hours of the month sat above the Recommended Time. The platform's Best Operator calculation put the recoverable gap at 69.7 hours, 9.7 points of paid time, on a line that produced for 41.5% of it. Across the Augos fleet the average gap between a line's current OEE and its Best Operator Benchmark is about 18 OEE points.
Source: Augos platform, Performance Overview, one anonymised beverage line, a 30-day month in 2026; fleet gap, Augos Factory method, Glossary: Best Operator Benchmark
Keeping it fair
The benchmark is a coaching tool, and four rules keep it one. Medians rather than means: a difficult shift caused by a failing machine does not define an operator's typical time. The ten-event rule: a metric with fewer than ten events in the window is suppressed and greyed out rather than graded. Peer masking: by default an operator sees their own numbers and the line benchmark rather than named colleagues' scores; supervisors and managers see the full picture. And ranking is weighted by time on the line, so an operator who covered a third of the paid hours is not outranked by one who covered a single shift. Operators are measured only on what they control: adherence to the standard and speed of response.
Source: Augos Factory method, Operator Analysis rules (median statistics, N under 10 suppression, peer masking); Glossary
Consistency as a force
The benchmark also reports consistency, as a coefficient of variation: how widely an operator's times for a cause scatter around their median. Two operators with the same median can be very different colleagues to plan around. On the beverage line the four operators who shared the planned stops had compliance between 21% and 45% and coefficients of variation between 1.2 and 1.9; the operator with the highest compliance also had the lowest variation. A low number means the line behaves the same way every shift, which is worth more to a planner than an occasional heroic one. Consistent operator behaviour is a powerful force on a line; inconsistency, shift to shift, quietly destroys output, and the benchmark is how it becomes visible without anyone being singled out.
Source: Augos platform, Planned Stoppage analysis, one anonymised beverage line, a 30-day month in 2026; CV definition, Glossary
What needs Augos Assist
The Best Operator Benchmark and owner dashboards are in the standard fee. The response-stage medians behind it, Operator Evaluation and Operator Resolution split apart, need Augos Assist, an optional extra. Without Assist, an unplanned stop is one number.
Source: Augos Factory method, Glossary: tiers
Common questions
What is the Best Operator Benchmark?
The line's best plausible day, synthesised from the best operator's typical time for each stop cause. The gap between it and the actual day is the capacity the line has already shown it can reach.
Isn't scoring operators just surveillance?
The method measures what operators control, uses medians so one bad shift does not define anyone, withholds grades below ten events, and masks peers' scores by default. Its purpose is to find who to learn from and what to coach.
How is this different from standard OEE?
Standard OEE reports that Availability was low. It cannot tell you that one operator clears a fault in half the time of another, or that the line has already run a better day than its target. The benchmark names both.
What makes one operator better than another?
Mostly how they handle a stop: noticing it quickly, clearing more without help, keeping to the standard on planned work, and doing it consistently. All of it is learnable, which is why the best operator is the training benchmark.
How big is the gap usually?
It depends on the line. On one anonymised beverage line it was 9.7 points of paid time in one month in 2026. Across the Augos fleet the average gap between current OEE and the Best Operator Benchmark is about 18 OEE points.