Weighing, Dosing & Loss-in-Weight Feeding worked example
Loss-In-Weight Calibration at 68% target calibration pass rate: a worked example
Here is what the math looks like when conditions slip. We hold every other input steady and drop target calibration pass rate to 68%, then walk the calculation through step by step. Loss-In-Weight Calibration tracks how many of your gravimetric feeders are holding tolerance versus drifting out of spec, expressed as a rate against a target.
The inputs for this scenario
- Feeders failing calibration check: 8 units (held at the documented default)
- Feeders in the calibration cycle: 250 units (held at the documented default)
- Target calibration pass rate: 68 % (the input this scenario stresses; the baseline uses 95)
Working through the calculation
- The calculation starts from the formula this tool documents: Loss-In-Weight Calibration rate = affected amount รท total amount.
- Rate works out to 3.2 lb at these inputs, and this is the headline figure for the scenario.
- Gap to target works out to 64.8 points at these inputs.
- Affected count works out to 8 count at these inputs.
- Total count works out to 250 count at these inputs.
How this compares with the baseline
- Against the tool's baseline example, where target calibration pass rate sits at 95% and the headline result is 3.2 lb, this scenario lands almost exactly on the baseline at 3.2 lb.
- The practical read: the gap between this scenario and the baseline is entirely attributable to target calibration pass rate, so recovering it is worth quantifying in dollars before considering equipment or staffing changes. A simple ratio hides which feeders are marginal versus grossly out; it does not weight by ingredient value or dosing criticality.
Results at a glance
- Rate: 3.2 lb (headline result)
- Gap to target: 64.8 points
- Affected count: 8 count
- Total count: 250 count
Run it with your numbers
- To rerun this with your own numbers, open the live Loss-In-Weight Calibration calculator, set target calibration pass rate to your actual value, and adjust the remaining inputs to match your operation.
Last reviewed 2026-05-12.