Enter your production data to calculate OEE — the gold-standard metric for measuring manufacturing performance. World-class benchmarks built in.
How much of planned production time was the equipment actually running? Every unplanned stop and changeover that runs long reduces this.
When running, how fast is it going vs. its theoretical max? Micro-stops and slow cycles drag this down without triggering a "downtime" event.
Of everything produced, how much was good on the first pass? Rework and scrap both count as quality losses.
World-class OEE is widely cited at 85%. Most plants land between 40–60% when they measure honestly for the first time.
AssetOS tracks availability, performance, and quality across every asset — live, not once a month from a spreadsheet.
World-class OEE is typically considered 85% or above. Most manufacturers measure between 40–60% when they first track it accurately. Anything below 65% suggests significant improvement opportunities in availability, performance, or quality.
Availability is one of three OEE components — it measures uptime against planned production time. OEE multiplies Availability × Performance × Quality. A machine can have 95% availability but still have poor OEE if it runs below speed or produces defective output.
Target your lowest component first. If Availability is low, investigate unplanned breakdowns and excessive planned downtime. If Performance is low, look at speed losses and minor stoppages. If Quality is low, trace reject root causes and adjust process parameters.
OEE originated in manufacturing but applies to any asset or process with planned run time: food processing, packaging, printing, pharmaceutical production, and data centres all use OEE variants. The formula is the same; what counts as a quality loss or speed loss is industry-specific.
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