Personal Care, Cosmetics & Household Products worked example
Labeling Throughput at 99% expected line uptime: a worked example
What does the result look like when expected line uptime reaches 99%? The full calculation is worked below with real intermediate numbers. Use it to confirm whether the labeling line can cover a demand order before you commit the schedule.
The inputs for this scenario
- Labeling speed: 120 containers / min (unchanged)
- Available run time: 420 min (unchanged)
- Expected line uptime: 99 % (raised for this scenario; the documented default is 88)
- Label first-pass yield: 97 % (unchanged)
Working through the calculation
- Applying the documented formula (Gross labeling capacity = labeling speed × available run time) to the inputs above produces each figure below.
- At this operating point the engine returns 48,399 units for good labeled units, the number this scenario is built around.
- At this operating point the engine returns 50,400 units for gross labeling capacity.
- At this operating point the engine returns 504 units for downtime loss.
- At this operating point the engine returns 1,497 units for label reject loss.
How this compares with the baseline
- Against the tool's baseline example, where expected line uptime sits at 88% and the headline result is 43,021 units, this scenario comes in 12.5% above the baseline at 48,399 units.
- A figure at this level is achievable when expected line uptime is genuinely sustained, not just peaked for a shift. Uptime and first-pass yield are estimates; if a specific jam mode or label-web issue spikes, actual output can fall well below the projection, so validate the factors against real run data.
Results at a glance
- Good labeled units: 48,399 units (headline result)
- Gross labeling capacity: 50,400 units
- Downtime loss: 504 units
- Label reject loss: 1,497 units
Run it with your numbers
- Every input above is editable in the live Labeling Throughput calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.