Overall Equipment Effectiveness (OEE)
is a metric that identifies the percentage of planned production time that is
truly productive. It was developed to support TPM initiatives by accurately
tracking progress towards achieving “perfect production”.
- An OEE score of 100% is perfect production.
- An OEE score of 85% is world class for discrete manufacturers.
- An OEE score of 60% is fairly typical for discrete manufacturers.
- An OEE score of 40% is not uncommon for manufacturers without TPM and/or lean programs.
OEE consists of three underlying
components, each of which maps to one of the TPM goals set out at the beginning
of this topic, and each of which takes into account a different type of productivity
loss.
Component
|
TPM
Goal
|
Type
of Productivity Loss
|
Availability
|
No Breakdowns
|
Availability takes into account Down
Time Loss, which includes all events that stop planned production for an
appreciable length of time (typically several minutes or longer).
|
Performance
|
No Small Stops or Slow Running
|
Performance takes into account Speed
Loss, which includes all factors that cause production to operate at less
than the maximum possible speed when running.
|
Quality
|
No Defects
|
Quality takes into account Quality
Loss, which factors out manufactured pieces that do not meet quality
standards, including pieces that require rework.
|
OEE
|
Perfect Production
|
OEE takes into account all losses
(Down Time Loss, Speed Loss, and Quality Loss), resulting in a measure of
truly productive manufacturing time.
|
It
is extremely important to measure OEE in order to expose and quantify
productivity losses, and in order to measure and track improvements resulting
from TPM initiatives.
Benefits of Automated OEE Tracking
Manually calculating OEE is a great way to start. It can be done with pencil and paper or with a simple spreadsheet, and only 5 pieces of data are needed (Planned Production Time, Down Time, Ideal Cycle Time, Total Pieces, and Good Pieces). Performing manual OEE calculations helps reinforce the underlying concepts and provides a deeper understanding of OEE. However, there are also very strong benefits to quickly moving to automated OEE data collection:
Item
|
Benefit
|
Down
Time
|
The accuracy of manual down time tracking is
typically in the range of 60 to 80% (based on real-world experience across
many companies). With automatic Run/Down detection, this accuracy can
approach 100%.
|
Small
Stops and Slow Cycles
|
For most equipment it is impossible to manually
track small stops and slow cycles. This means that a great deal of
potentially useful information, such as time-based and event-based loss
patterns, is not available.
|
Operator
Focus
|
With automated data collection the operator spends
more time focused directly on the equipment (versus spending time on
paperwork).
|
Real-Time
Results
|
Automated data collection provides results in
real-time, enabling improvement techniques such as SIC (Short Interval
Control).
|