Workforce, Labor Standards & Skills Planning worked example

Staffing Gap at 99% expected staffed-line uptime: a worked example

What does the result look like when expected staffed-line uptime reaches 99%? The full calculation is worked below with real intermediate numbers. Use it when staffing gap in workforce, labor standards and skills planning is being asked to take on more work and you need to know if there is room.

The inputs for this scenario

  • Good units one staffed line produces per cycle: 4 units / cycle (unchanged)
  • Staffed production cycles available in the period: 480 cycles (unchanged)
  • Expected staffed-line uptime: 99 % (raised for this scenario; the documented default is 90)
  • Expected first-pass yield at planned staffing: 97 % (unchanged)

Working through the calculation

  • Applying the documented formula (Gross staffing gap capacity = staffing gap output per cycle × available staffing gap cycles) to the inputs above produces each figure below.
  • At this operating point the engine returns 1,844 units for good staffing gap capacity, the number this scenario is built around.
  • At this operating point the engine returns 1,920 units for gross staffing gap capacity.
  • At this operating point the engine returns 19.2 units for staffing gap downtime loss.
  • At this operating point the engine returns 57.02 units for staffing gap yield loss.

How this compares with the baseline

  • Against the tool's baseline example, where expected staffed-line uptime sits at 90% and the headline result is 1,676 units, this scenario comes in 10% above the baseline at 1,844 units.
  • A figure at this level is achievable when expected staffed-line uptime is genuinely sustained, not just peaked for a shift. It sizes a line's output, not headcount directly — you convert output-versus-demand into people using your own cycle-per-operator staffing ratio, and it assumes flat uptime and yield.

Results at a glance

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

Run it with your numbers

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

Last reviewed 2026-05-12.