Bicycles, E-Bikes & Micromobility worked example
Motor Test Capacity at 99% motor test station uptime: a worked example
What does the result look like when motor test station uptime reaches 99%? The full calculation is worked below with real intermediate numbers. an e-bike or scooter assembly line needs to confirm motor test capacity before committing a daily or weekly production schedule
The inputs for this scenario
- Motors tested per cycle: 4 motors / cycle (unchanged)
- Available motor test cycles: 180 cycles (unchanged)
- Motor test station uptime: 99 % (raised for this scenario; the documented default is 92)
- Motor first-pass test yield: 97 % (unchanged)
Working through the calculation
- Applying the documented formula (Gross motor test slots = motors tested per cycle × available motor test cycles) to the inputs above produces each figure below.
- At this operating point the engine returns 691 motors for accepted motor test capacity, the number this scenario is built around.
- At this operating point the engine returns 720 motors for gross motor test slots.
- At this operating point the engine returns 7.2 motors for motor test downtime loss.
- At this operating point the engine returns 21.38 motors for motor test yield loss.
How this compares with the baseline
- Against the tool's baseline example, where motor test station uptime sits at 92% and the headline result is 643 motors, this scenario comes in 7.61% above the baseline at 691 motors.
- A figure at this level is achievable when motor test station uptime is genuinely sustained, not just peaked for a shift. It models first-pass yield only; motors that pass on retest are not added back, so true accepted capacity may be slightly higher if you rework and retest failures.
Results at a glance
- Accepted motor test capacity: 691 motors (headline result)
- Gross motor test slots: 720 motors
- Motor test downtime loss: 7.2 motors
- Motor test yield loss: 21.38 motors
Run it with your numbers
- Every input above is editable in the live Motor Test Capacity calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.