Wearable Medical Sensors worked example

Capacity Gap at 99% expected equipment uptime: a worked example in wearable medical sensors

Push expected equipment uptime up to 99% and the picture changes. This example computes every intermediate figure at that operating point. Use it when capacity gap in wearable medical sensors is being asked to take on more work and you need to know if there is room.

The inputs for this scenario

  • Sensor units built per cycle: 4 units / cycle (unchanged)
  • Available production cycles in the window: 480 cycles (unchanged)
  • Expected equipment 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 capacity gap capacity = capacity gap output per cycle × available capacity gap cycles) to the inputs above produces each figure below.
  • At this operating point the engine returns 1,844 units for good capacity gap capacity, the number this scenario is built around.
  • At this operating point the engine returns 1,920 units for gross capacity gap capacity.
  • At this operating point the engine returns 19.2 units for capacity gap downtime loss.
  • At this operating point the engine returns 57.02 units for capacity gap yield loss.

How this compares with the baseline

  • Against the tool's baseline example, where expected equipment uptime sits at 90% and the headline result is 1,676 units, this scenario comes in 10% above the baseline at 1,844 units.
  • It multiplies output per cycle by available cycles to get gross capacity, then derates it by uptime and first-pass yield to give the good units you can actually ship. The value of this scenario is the size of the gap it exposes: that gap, priced out over a year, is the budget you can justify spending to close it.

Results at a glance

  • Good capacity gap capacity: 1,844 units (headline result)
  • Gross capacity gap capacity: 1,920 units
  • Capacity gap downtime loss: 19.2 units
  • Capacity gap yield loss: 57.02 units

Run it with your numbers

  • Every input above is editable in the live Capacity Gap calculator, which recalculates instantly and can be shared with the inputs intact.

Last reviewed 2026-05-12.