Get maximum efficiency from your equipment
OEE
OEE (Overall Equipment Effectiveness) is an analytical tool for monitoring and optimizing the efficiency of your production equipment in real time.
It helps reduce downtime, identify bottlenecks, increase production rates, and minimize the number of rejects.
You can see in real time where production is stalling and why, where performance is being lost, what the difference is between the plan and reality, and where defects and recurring errors are occurring.
Why it makes sense to address OEE right now
Get in touch if:
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you only address downtime retrospectively, after a change or after an audit,
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you cannot accurately determine the causes of production outages,
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line performance varies between shifts or operators,
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the OEE number exists but does not lead to concrete steps,
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defects are recorded but the causes are repeated,
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paper records and manual reports distort reality.
Every downtime is recorded with the exact cause – not an estimate after the shift.
MACHINE DOWNTIME AND ITS CAUSES
01.
Comparing planned and actual performance reveals hidden losses.
PERFORMANCE AND PRODUCTION RATE
02.
Analysis of the share of quality production and identification of causes of errors.
Quality and failures
03.
Capture short interruptions, product changes, and inefficient operation.
MICRO-STOPS AND IDLING
04.
Data for optimizing operator work and maintenance planning.
OPERATOR AND MAINTENANCE EFFICIENCY
05.
Interconnection of technical, procedural, and organizational causes of productivity decline.
A comprehensive view of production
06.
What will change after OEE implementation?
+15 %
average increase in OEE
-40 %
hidden costs
+25 %
operator efficiency
Who is OEE suitable for?
OEE is suitable for companies that:
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have serial or line production,
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deal with downtime, performance fluctuations, or quality issues,
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want to make decisions based on data, not guesswork,
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operate in industrial manufacturing, automotive, or food production,
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are planning automation or Industry 4.0.
OEE is not worthwhile if:
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production is small, stable, and without variability,
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data is not used to improve processes.
