Calibration Lab & Gauge Management worked example
Gauge Recall Rate at 99% target recall rate: a worked example
This scenario runs the gauge recall rate calculation on the strong side: 99% target recall rate, with every other input held at its documented default. Use it when gauge recall rate in calibration lab and gauge management needs a clean rate and gap-to-target you can put on a tier board.
The inputs for this scenario
- Gauges recalled on time: 8 gauges (unchanged)
- Total gauges due for recall: 250 gauges (unchanged)
- Target recall rate: 99 % (raised for this scenario; the documented default is 95)
Working through the calculation
- Applying the documented formula (Gauge recall rate = gauges recalled on time ÷ total gauges due × 100) to the inputs above produces each figure below.
- At this operating point the engine returns 3.2 % for gauge recall rate, the number this scenario is built around.
- At this operating point the engine returns 95.8 points for recall gap to target.
- At this operating point the engine returns 8 count for gauges recalled on time.
- At this operating point the engine returns 250 count for total gauges due.
How this compares with the baseline
- Against the tool's baseline example, where target recall rate sits at 95% and the headline result is 3.2 %, this scenario lands almost exactly on the baseline at 3.2 %.
- Use it monthly or per audit cycle to monitor whether the lab is keeping instruments current and to flag a compliance risk before an auditor does. 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
- Gauge recall rate: 3.2 % (headline result)
- Recall gap to target: 95.8 points
- Gauges recalled on time: 8 count
- Total gauges due: 250 count
Run it with your numbers
- Every input above is editable in the live Gauge Recall Rate calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.