Coffee, Tea, Roasting & Dry Goods Processing worked example
Bag Fill Giveaway at 110% giveaway capture rate: a worked example
What does the result look like when giveaway capture rate reaches 110%? The full calculation is worked below with real intermediate numbers. reviewing overfill, net contents control, and product giveaway during packaging
The inputs for this scenario
- Extra product packed above label weight: 18 units (unchanged)
- Packaging line runtime: 6 hr (unchanged)
- Giveaway capture rate (scale verification coverage): 110 % (raised for this scenario; the documented default is 100)
Working through the calculation
- Applying the documented formula (Raw bag fill giveaway = extra product packed above target รท packaging runtime) to the inputs above produces each figure below.
- At this operating point the engine returns 3.3 lb / hr for effective bag fill giveaway, the number this scenario is built around.
- At this operating point the engine returns 3 lb / hr for raw bag fill giveaway.
- At this operating point the engine returns 110 % for confirmed giveaway capture percentage.
- At this operating point the engine returns 6 hr for packaging runtime.
How this compares with the baseline
- Against the tool's baseline example, where giveaway capture rate sits at 100% and the headline result is 3 lb / hr, this scenario comes in 10% above the baseline at 3.3 lb / hr.
- A figure at this level is achievable when giveaway capture rate is genuinely sustained, not just peaked for a shift. It assumes the overweight figure you enter is a true measured average across the run; a few cherry-picked heavy bags will overstate giveaway, and it does not account for moisture loss after fill that can pull settled weights back toward target.
Results at a glance
- effective bag fill giveaway: 3.3 lb / hr (headline result)
- raw bag fill giveaway: 3 lb / hr
- confirmed giveaway capture percentage: 110 %
- packaging runtime: 6 hr
Run it with your numbers
- Every input above is editable in the live Bag Fill Giveaway calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.