Quality & Metrology worked example
Inspection Capacity at 99% expected uptime: a worked example in quality & metrology
This scenario runs the inspection capacity calculation on the strong side: 99% expected uptime, with every other input held at its documented default. Use it when deciding whether inspection can absorb more work or whether you need another shift or station.
The inputs for this scenario
- Parts inspected per cycle: 4 parts / cycle (unchanged)
- Available cycles: 480 cycles (unchanged)
- Expected uptime: 99 % (raised for this scenario; the documented default is 90)
- Expected first-pass yield: 97 % (unchanged)
Working through the calculation
- Applying the documented formula (Gross inspection capacity = parts inspected per cycle × available cycles) to the inputs above produces each figure below.
- At this operating point the engine returns 1,844 parts for good inspection capacity, the number this scenario is built around.
- At this operating point the engine returns 1,920 parts for gross inspection capacity.
- At this operating point the engine returns 19.2 parts for downtime loss.
- At this operating point the engine returns 57.02 parts for first-pass yield loss.
How this compares with the baseline
- Against the tool's baseline example, where expected uptime sits at 90% and the headline result is 1,676 parts, this scenario comes in 10% above the baseline at 1,844 parts.
- Use it when sizing inspection resources, quoting inspection lead time, or checking whether metrology can keep pace with a production ramp. 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 inspection capacity: 1,844 parts (headline result)
- Gross inspection capacity: 1,920 parts
- Downtime loss: 19.2 parts
- First-pass yield loss: 57.02 parts
Run it with your numbers
- Every input above is editable in the live Inspection Capacity calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.