Surgical Robotics Manufacturing worked example

Capacity Gap at 99% line uptime after downtime losses: a worked example in surgical robotics manufacturing

This scenario runs the capacity gap calculation on the strong side: 99% line uptime after downtime losses, with every other input held at its documented default. Use it when capacity gap in surgical robotics manufacturing is being asked to take on more work and you need to know if there is room.

The inputs for this scenario

  • Robotic assemblies completed per production cycle: 4 units / cycle (unchanged)
  • Production cycles available in the window: 480 cycles (unchanged)
  • Line uptime after downtime losses: 99 % (raised for this scenario; the documented default is 90)
  • First-pass yield through final QC: 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 line uptime after downtime losses sits at 90% and the headline result is 1,676 units, this scenario comes in 10% above the baseline at 1,844 units.
  • Use it during capacity planning or when validating whether a committed ship schedule is achievable on the available line time. 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 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.