Wire, Cable & Conductor Manufacturing worked example
Spark Test Throughput at 99% line uptime efficiency: a worked example
This scenario runs the spark test throughput calculation on the strong side: 99% line uptime efficiency, with every other input held at its documented default. Use it when spark test throughput in wire, cable and conductor manufacturing is being committed and you need a throughput number you can defend.
The inputs for this scenario
- Cable lengths spark-tested per shift: 1,200 units (unchanged)
- Spark tester runtime per shift: 8 hr (unchanged)
- Line uptime efficiency: 99 % (raised for this scenario; the documented default is 90)
Working through the calculation
- Applying the documented formula (Raw spark test throughput = completed output รท runtime) to the inputs above produces each figure below.
- At this operating point the engine returns 149 units / hr for effective throughput, the number this scenario is built around.
- At this operating point the engine returns 150 units / hr for raw throughput.
- At this operating point the engine returns 99 % for efficiency.
- At this operating point the engine returns 8 hr for runtime.
How this compares with the baseline
- Against the tool's baseline example, where line uptime efficiency sits at 90% and the headline result is 135 units / hr, this scenario comes in 10% above the baseline at 149 units / hr.
- Use it when setting continuous line speed, planning shift capacity for a spark-test station, or reconciling planned output against what the tester actually clears. 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
- Effective throughput: 149 units / hr (headline result)
- Raw throughput: 150 units / hr
- Efficiency: 99 %
- Runtime: 8 hr
Run it with your numbers
- Every input above is editable in the live Spark Test Throughput calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.