The Path from Data to Actionable Information as a Driver for the Industrial Ecosystem
The OEE metric [1] is structured so that a
one-hundred percent OEE is an impossible
target that can never be achieved because it
represents perfection. In a well-run discrete
manufacturing enterprise, the correctly
computed OEE is usually in the range of
thirty to forty percent. In high volume low
mix production, such as automotive parts,
OEE has been measured as high as eighty
percent. When a company reports an OEE
metric over ninety percent, one should view
that number as suspicious; when OEE is
greater than one-hundred percent, the
targets are invalid, and the number has no
meaning and therefore is not actionable.
There is only one factor, Overall Availability
[2], that has been consistently measured
accurately and objectively. In the following
section, we will discuss each factor and how
to accurately compute OEE using IIoT data
and the methodologies outlined in the
previous section. This approach has yielded
a much more valuable KPI, and that has been
effectively used in-process improvement.
O VERALL A VAILABILITY
The first factor is defined by slicing time into the following categories, as defined by AMT in Figure
5:
Figure 5: Chart of Equipment Availability Parameters
IIC Journal of Innovation
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