Best-in-class manufacturers (roughly the top 25%) enjoy OEE in excess of 80%. The average manufacturer (representing half of all manufacturers) has OEE of approximately 66%.
Best-in-class manufacturers (roughly the top 25%) enjoy OEE in excess of 80%. The average manufacturer (representing half of all manufacturers) has OEE of approximately 66%.
There are three asset metrics that must be known to accurately calculate OEE:
As an example, if your machine is running 87% of the time (A), is running at 82% of its potential speed (P), and produces a usable product 98% of the time (Q), your calculation would look like this: 0.87 x 0.82 x 0.98 = 0.699
In this example, your asset has an OEE of approximately 70%.
To determine the values for A, P, and Q, first choose a window of planned production time, expressed in hours. The longer the window of time, the more accurately your OEE figure will represent the average performance of the asset.
Gain visibility into:
This level of awareness helps manufacturers stop issues before they escalate and uncover opportunities to streamline operations.
Since 80% of failure-related downtime stems from maintenance and operations issues, optimizing machine health presents your biggest opportunity to improve production, flexibility, safety, and quality.
KCF’s machine health optimization approach goes beyond predictive maintenance, helping you improve your current plant conditions and unlock your full performance potential.
See how we help manufacturers move from monitoring to meaningful impact.
