How do you calculate filler OEE?

Multiply three factors: availability (operating time ÷ planned time), speed performance vs rated speed, and good-fill quality. With 6.8 operating hours out of 8 planned, 91% performance and 98% quality, availability is 85% and OEE is 0.85 x 0.91 x 0.98 = 75.8%.

What is a good OEE for a filling line?

World-class OEE is around 85%. Most beverage and food fillers run 60-75%, so the example result of 75.8% is solid mid-to-upper performance with the biggest remaining loss being the 9% speed gap, not downtime or rejects.

What counts as planned production time for a filler?

Planned time is scheduled run time minus planned non-production such as breaks, no-orders or no-product. It does not subtract breakdowns, changeovers or jams — those are availability losses the OEE is meant to capture.

Why is my filler OEE lower than my uptime?

Because OEE also charges you for running below rated speed and for low-fill/high-fill rejects. An 85% availability can collapse to 75.8% OEE once a 91% speed performance and 98% quality are layered in.

Availability vs performance — which loss should I fix first?

Fix the largest gap. In the worked example availability (15% lost) and performance (9% lost) both beat quality (2% lost), so a downtime Pareto plus a root-cause on the speed shortfall will move OEE more than chasing the 2% reject rate.

Does OEE include changeover time?

Yes, if the changeover happens inside planned production time it shows up as an availability loss. If you deliberately schedule changeovers outside production time, exclude them from planned time so OEE reflects only running losses.

Bottling, Canning & Filling Lines calculator

Filler OEE Calculator

Filler OEE is the single number that tells you how much of your filler's rated output you actually shipped as good, correctly-filled containers. It multiplies three losses together: availability (was the filler running when it was scheduled to?), performance (did it hit nameplate fill speed?), and quality (did fills pass low-fill/high-fill checks?). Line managers, packaging engineers and continuous-improvement leads on bottling and canning lines use it to separate downtime problems from speed creep and from reject losses. Unlike a simple uptime figure, OEE punishes a filler that runs slow or makes off-spec fills even when it never stops.

What this calculator does

Estimate filler OEE from filler availability, speed performance, and good-fill quality for a bottling or canning run.
a filler is being reviewed for downtime, speed loss, low fills, high fills, foam, valve problems, or rejected packages
It computes overall equipment effectiveness for a filler by multiplying availability (operating time ÷ planned time) by speed performance and good-fill quality.

Formula used

Filler availability = filler operating time ÷ planned filler production time
Filler OEE = filler availability × speed performance × good-fill quality

Inputs explained

Filler operating (run) time this shift:
Planned filler production time:
Filler speed performance vs rated speed:
Good-fill quality rate after rejects:

How to use the result

Use it at end of shift or per production order to benchmark a filler bowl, monoblock or rotary filler against its rated capability and to prioritise which loss to attack first.
OEE alone cannot tell you why a loss occurred — an 85% availability could be one long jam or twenty micro-stops, which need very different fixes, so always pair it with a downtime Pareto.

Common questions

How do you calculate filler OEE? Multiply three factors: availability (operating time ÷ planned time), speed performance vs rated speed, and good-fill quality. With 6.8 operating hours out of 8 planned, 91% performance and 98% quality, availability is 85% and OEE is 0.85 x 0.91 x 0.98 = 75.8%.
What is a good OEE for a filling line? World-class OEE is around 85%. Most beverage and food fillers run 60-75%, so the example result of 75.8% is solid mid-to-upper performance with the biggest remaining loss being the 9% speed gap, not downtime or rejects.
What counts as planned production time for a filler? Planned time is scheduled run time minus planned non-production such as breaks, no-orders or no-product. It does not subtract breakdowns, changeovers or jams — those are availability losses the OEE is meant to capture.
Why is my filler OEE lower than my uptime? Because OEE also charges you for running below rated speed and for low-fill/high-fill rejects. An 85% availability can collapse to 75.8% OEE once a 91% speed performance and 98% quality are layered in.
Availability vs performance — which loss should I fix first? Fix the largest gap. In the worked example availability (15% lost) and performance (9% lost) both beat quality (2% lost), so a downtime Pareto plus a root-cause on the speed shortfall will move OEE more than chasing the 2% reject rate.

Last reviewed 2026-05-12.