Weighing, Dosing & Loss-in-Weight Feeding worked example
Batch Reconciliation at 99% feeder uptime and availability: a worked example
This scenario runs the batch reconciliation calculation on the strong side: 99% feeder uptime and availability, with every other input held at its documented default. Use it when batch reconciliation in weighing, dosing and loss-in-weight feeding is being asked to take on more work and you need to know if there is room.
The inputs for this scenario
- Units dispensed per feed cycle: 4 units / cycle (unchanged)
- Available feed cycles in the period: 480 cycles (unchanged)
- Feeder uptime / availability: 99 % (raised for this scenario; the documented default is 90)
- First-pass yield of reconciled batches: 97 % (unchanged)
Working through the calculation
- Applying the documented formula (Gross batch reconciliation capacity = units per cycle × available cycles) to the inputs above produces each figure below.
- At this operating point the engine returns 1,844 units for good output capacity, the number this scenario is built around.
- At this operating point the engine returns 1,920 units for gross capacity.
- At this operating point the engine returns 19.2 units for uptime loss.
- At this operating point the engine returns 57.02 units for yield loss.
How this compares with the baseline
- Against the tool's baseline example, where feeder uptime and availability sits at 90% and the headline result is 1,676 units, this scenario comes in 10% above the baseline at 1,844 units.
- Use it when planning a batch campaign or reconciling planned versus actual good output on a dosing line. Treat this as a target state: the delta against the baseline quantifies what the improvement is worth before you commit to chasing it.
Results at a glance
- Good output capacity: 1,844 units (headline result)
- Gross capacity: 1,920 units
- Uptime loss: 19.2 units
- Yield loss: 57.02 units
Run it with your numbers
- Every input above is editable in the live Batch Reconciliation calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.