Production Data

Results

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OEE
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Availability
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Performance
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Quality
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Rating

Losses Breakdown

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Downtime Minutes
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Speed Loss Units
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Quality Loss Units
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Total Units Lost

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What is OEE?

OEE (Overall Equipment Effectiveness) is the gold standard metric for measuring manufacturing productivity. It identifies the percentage of planned production time that is truly productive. An OEE score of 100% means you are manufacturing only good parts, as fast as possible, with no downtime.

OEE is calculated as the product of three factors:

OEE = Availability × Performance × Quality

Each factor captures a different category of productivity loss, giving manufacturers a clear framework to identify and address the root causes of inefficiency.

How to Calculate OEE

Follow these three steps to calculate OEE from your production data:

Final OEE: Multiply all three factors together. For the example above: OEE = 0.90 × 0.8102 × 0.99 = 72.19%.

OEE Benchmarks

Use the table below to understand where your process stands relative to industry benchmarks:

OEE Score Rating Description
< 40% Needs Improvement Significant losses present. Root cause analysis is urgently needed to address major downtime, speed, or quality issues.
40% – 60% Typical Common for manufacturers just beginning to track OEE. Improvement opportunities are abundant and achievable.
60% – 85% Good Solid performance with room for incremental improvement. Many well-managed operations fall in this range.
> 85% World Class Top-tier performance. Only achievable through sustained continuous improvement and disciplined manufacturing practices.

The Six Big Losses

OEE is designed to highlight the "Six Big Losses" that reduce equipment effectiveness. Understanding which losses affect which OEE component helps you prioritize improvement efforts:

Why Track OEE?

OEE provides a single, unified metric that captures the full picture of manufacturing efficiency. By tracking OEE over time, manufacturers can identify trends, measure the impact of improvement initiatives, and benchmark performance across lines, shifts, and plants. It is a cornerstone of Total Productive Maintenance (TPM) and lean manufacturing programs, enabling data-driven decisions that reduce waste, increase throughput, and improve product quality without requiring additional capital investment.