OEE calculator
Work out the Overall Equipment Effectiveness of any machine or line from one shift of production data, and see exactly where the planned time went.
Overall Equipment Effectiveness
78.5%
Around the score often cited as typical for discrete manufacturing.
Run time ÷ planned production time
(Ideal cycle time × total units) ÷ run time
Good units ÷ total units
Where the planned time went
- Fully productive time6 h 17 min
- Quality loss8 min
- Speed loss48 min
- Downtime loss47 min
What is OEE?
Overall Equipment Effectiveness is the standard measure of manufacturing productivity. It multiplies three factors into a single score: the share of planned time that was truly productive.
OEE = Availability × Performance × Quality
Availability
Run time ÷ planned production time
Captures downtime losses: breakdowns, changeovers, adjustments, and every other stop, planned or not, that keeps the line from running.
Performance
(Ideal cycle time × total units) ÷ run time
Captures speed losses: slow cycles and small stops that let the line run below the fastest rate it's capable of.
Quality
Good units ÷ total units
Captures quality losses: scrap and parts that need rework. Only units that are right the first time count as good.
What's a good OEE score?
There's no universal target; it depends on your industry and process. These commonly cited benchmarks give the score some context.
- 100%
- Perfect production: every unit good, at maximum speed, with zero downtime. A theoretical ceiling rather than a realistic target.
- 85%
- Commonly cited as world class for discrete manufacturing, and a meaningful long-term goal.
- 60%
- Fairly typical for discrete manufacturers, and a sign there's substantial room for improvement.
- 40%
- Not uncommon for lines being measured for the first time. A low starting score simply means the recoverable capacity is large.
Knowing the score is the easy part
The calculator tells you how much capacity you're losing. Working out which change wins it back is harder, and that's what a digital twin of your factory is for.
Simulate before you change anything
Rebuild your line in moicon's process analysis engine, with sources, processors, buffers, and connectors, then watch material flow through it to find the bottleneck before touching the real line.
Production simulationModel the losses you just measured
Processors in a simulation carry the same characteristics behind your OEE score, like setup times, processing times, MTBF and MTTR, so you can see how availability and speed losses ripple through your output.
Watch conditions in real time
Connect IoT sensors to your digital twin to monitor real conditions on the floor, visualized directly in the 3D model of your factory.
Real-time monitoring