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Overall Equipment Effectiveness (OEE) is the manufacturing industry’s most widely used measure of how productively a machine or production line is actually running. The problem is that in most factories, calculating it requires dedicated data collection effort — someone has to log stoppages, count defects, and do the maths. In Bold Factory, OEE is calculated automatically, in real time, as a byproduct of the production data your operators are already recording. There is nothing extra to fill in.

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What OEE Is and Why It Matters

OEE is a composite metric built from three components:
ComponentWhat it measuresHow it is lost
AvailabilityThe proportion of planned production time the machine was actually runningUnplanned stoppages, breakdowns, changeovers
PerformanceHow fast the machine ran compared to its theoretical maximum speedReduced speed, minor stops, operator waiting
QualityThe proportion of output that met specification first timeDefective units, rework, scrap
The OEE score is the product of these three: OEE = Availability × Performance × Quality. A world-class OEE is generally considered to be around 85%. Most factories, when they first measure it honestly, find themselves significantly below that — not because they are poorly run, but because many of the losses are invisible until you start looking for them.
OEE is most useful as a directional indicator and a benchmarking tool, not as an absolute target. A 65% OEE on a machine producing highly variable custom parts is not directly comparable to a 65% OEE on a high-volume automated line. Use it to track your own improvement over time and to identify where to focus attention.

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How Bold Calculates OEE Automatically

Bold derives OEE from the data your operators record as part of their normal workflow in Operator Work Mode. No separate data collection system is required. Here is where each input comes from:
When an operator logs a machine stoppage — selecting a reason code and recording the time — Bold subtracts that downtime from the planned production window. When the machine restarts, the clock resumes. The availability calculation is continuous and real time.
Each process step in your recipe has a theoretical cycle time. Bold compares the actual time the operator spent on each step with that target. If steps are consistently taking longer than the theoretical time, performance is below 100%. Minor pauses and slow running surface here even when no formal stoppage is logged.
Every quality check that fails, every defective unit that an operator reports, and every rework event is recorded against the work order. Bold uses these records to calculate the first-pass yield for the period, which becomes the quality component of the OEE score.
Because all three inputs come from the same data operators are already entering to guide their work, there is no additional burden. The operator logs a stoppage to let Bold know why the line paused — not to feed an OEE dashboard — but the dashboard benefits anyway.

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OEE Breakdowns

Bold lets you slice your OEE score along three dimensions, so you can see exactly where the losses are concentrated: By machine — compare OEE across machines performing the same or similar operations. If machine A consistently outperforms machine B, investigate whether it is a maintenance issue, an operator assignment pattern, or a difference in the work being allocated to each. By shift — if availability or quality drops consistently on the night shift but not the day shift, that is a signal worth investigating. It might be maintenance coverage, training, fatigue, or a process variable that behaves differently at night (temperature in the factory, for example). By product — some products are inherently harder to run at full efficiency than others. Seeing OEE by product helps you understand the true cost of complexity in your product range and informs pricing decisions.

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Reading Your OEE Score

1

Start with the overall score

Open the OEE dashboard and look at the overall score for your target period. If it is below 65%, there is significant room to improve and the losses should be easy to find. If it is above 80%, you are performing well but the breakdown by component will tell you where the remaining gains are.
2

Identify the lowest component

Look at Availability, Performance, and Quality separately. The lowest one tells you where to focus first. An availability problem means your machines are stopping too often or for too long. A performance problem means they run below their rated speed even when they are not stopped. A quality problem means too much of what you make does not pass first time.
3

Drill into the data

Click through from the OEE score to the underlying records. For availability losses, examine the stoppage reason codes — which causes are most frequent and which cause the longest total downtime? For quality losses, look at the non-conformance log to find the most common defect types and the steps where they originate.
4

Prioritise improvement actions

Use a simple Pareto approach: fix the biggest loss first. Address the stoppage reason that accounts for the most downtime, or the quality check that fails most often. Small improvements in the dominant loss category deliver bigger OEE gains than chasing marginal improvements across many categories simultaneously.
5

Track the impact

After implementing a change — a maintenance schedule adjustment, a process step update, an operator training intervention — watch the OEE trend for the affected machine or shift over the following weeks. Bold’s trend charts show whether the change is holding.

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Using OEE to Prioritise Improvement

OEE is only useful if it drives action. Here are practical ways to use the data Bold gives you:

Feed into CMMS

Link stoppage reason codes to your maintenance team’s work queue. If a machine shows a pattern of short stops from the same root cause, raise a preventive maintenance task before it becomes a full breakdown.

Inform shift briefings

Start each shift with a two-minute review of the previous shift’s OEE on the affected machines. Operators who see the data and understand what it means take more ownership of keeping their machines running well.

Support investment decisions

When you are evaluating whether to invest in a new machine, refurbish an existing one, or add a second shift, OEE data from Bold gives you the factual basis for the business case.

Benchmark over time

Set a monthly OEE review cadence. Track the trend for each key machine over quarters. Sustained improvement — even a few percentage points per quarter — compounds into significant capacity gains over a year.
Do not treat OEE as a management pressure metric. If operators feel that a low OEE score will be used against them, they will game the data — logging fewer stoppages, inflating theoretical cycle times — and the number will improve while the underlying reality does not. Use OEE as a shared diagnostic tool that the whole team works on together.