Your 85% OEE isprobably a story.
Micro-stops get dropped. Changeovers get relabeled “planned.” The dashboard stays green while a fifth of your capacity hides in plain sight — until you buy a machine to replace capacity you already own. This grader computes every line’s OEE twice, reported and true, and refuses to call a number honest when time has been hidden from it.
The most-quoted number on the plant floor is the one nobody checks.
of capacity commonly hides in the “hidden factory” that inflated OEE conceals — capacity a plant tries to buy new when it already owns it.
OEE gets softened: micro-stops excluded under a threshold, changeovers reclassified as planned, and reduced-speed running counted at full rate.
is the size of a single avoidable line or capex decision made off a number that omitted the very time the new machine was meant to recover.
Every AI vendor on the floor is selling prediction — sensors, vision, digital twins, a six-figure pilot. None of them check whether the number you already report is telling the truth. That is arithmetic, not machine learning, and it is where the money actually leaks.
Grade a line yourself. Watch a good number get caught.
Live grader · evaluated 2026-06-30
60.0 minutes were hidden from availability, so this line reads INFLATED even at a true 77.6%. Tap "Restore hidden time" to see it release to its real band.
Scores an equipment number, never a person. Deterministic and offline — your inputs, no benchmark multiplier.
The worked line runs at a true 77.6% — a genuinely strong OEE — yet reads INFLATED because 60 minutes were hidden from availability. Restore the hidden time and the same line releases to TRUE OEE. That is the whole discipline: the gate makes the reporting honest so the number can be trusted.
One command reads your shift log and grades every line.
$ python3 oee_grader.py sample_lines.csv --as-of 2026-06-30 ================================================================== OEE HONESTY GRADER - RedHub AI (OEE-099) Evaluation date: 2026-06-30 ================================================================== Line: Line 1 - Filler Reported OEE : 83.8% True OEE : 77.6% (inflation +6.1 pts) <- hidden time A / P / Q : 79.2% / 100.0% / 98.0% Weakest : Availability at 79.2% Hidden mins : 60.0 VERDICT : INFLATED Line: Line 1 - Filler (cleaned up) Reported OEE : 77.6% True OEE : 77.6% (inflation +0.0 pts) A / P / Q : 79.2% / 100.0% / 98.0% Weakest : Availability at 79.2% Hidden mins : 0.0 VERDICT : TRUE OEE Line: Line 2 - Capper Reported OEE : 81.3% True OEE : 81.3% (inflation +0.0 pts) A / P / Q : 87.5% / 94.3% / 98.5% Weakest : Availability at 87.5% Hidden mins : 0.0 VERDICT : TRUE OEE Line: Line 3 - Labeler Reported OEE : 61.1% True OEE : 61.1% (inflation +0.0 pts) A / P / Q : 68.8% / 92.9% / 95.7% Weakest : Availability at 68.8% Hidden mins : 0.0 VERDICT : TRUE OEE Line: Line 4 - Palletizer Reported OEE : 66.3% True OEE : 63.2% (inflation +3.0 pts) <- hidden time A / P / Q : 65.6% / 100.0% / 96.4% Weakest : Availability at 65.6% Hidden mins : 45.0 VERDICT : INFLATED Line: Line 5 - Case Packer Reported OEE : 74.8% True OEE : 74.8% (inflation +0.0 pts) A / P / Q : 81.3% / 93.8% / 98.0% Weakest : Availability at 81.3% Hidden mins : 0.0 VERDICT : TRUE OEE Line: Line 6 - Shrink Wrapper Reported OEE : 48.9% True OEE : 48.9% (inflation +0.0 pts) A / P / Q : 60.4% / 86.9% / 93.1% Weakest : Availability at 60.4% Hidden mins : 0.0 VERDICT : SOFT NUMBER ------------------------------------------------------------------ PLANT REPORTING VERDICT : INFLATED REPORTING Fix first : Line 1 - Filler (inflation +6.1 pts, true OEE 77.6%) ------------------------------------------------------------------ Scores an equipment number, never a person. Not a safety-compliance certification and not accounting advice.
Stdlib-only Python, no install beyond Python itself. The workbook reproduces these exact verdicts, and the demo above computes the identical numbers — verified byte-for-byte on the shipped sample.
Three rules keep the number honest.
Reported vs. true, side by side
Every line is computed both ways from your own inputs. The gap between them is the inflation — named, in points, not buried.
Hidden time is dispositive
Any minute omitted from availability forces INFLATED, whatever the true number. An OEE that omits time is not an OEE. Clear the exclusions and it releases.
World-standard math, no multiplier
Availability × Performance × Quality, exactly as the standard defines it. No benchmark stat, no invented uplift — just your numbers.
A reporting-integrity check, not a sensor or a scorecard for people.
- A deterministic, offline grader you run on shift facts you already have.
- A way to expose the hidden factory before it drives a capital decision.
- A workbook and engine that agree byte-for-byte, so any team can reproduce the verdict.
- Not a sensor, PLC integration, or predictive-maintenance model — it connects to nothing.
- It scores an equipment number, never a person, operator, or crew.
- Not a safety-compliance certification and not accounting advice.
Anyone who signs off on an OEE number or spends against one.
- Plant and operations managers who report OEE up the chain
- Continuous-improvement and lean leads running the numbers
- Finance and ops reviewing a capacity or capex request
- Consultants auditing a plant's reporting before a project
- Real-time line monitoring — this grades a window, not a live feed
- Ranking or evaluating operators or shifts
- Plants that want a black-box AI score instead of the arithmetic
- Replacing your MES — it reads facts you export from it
Build the honest number, then act on it.
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