Workforce, Labor Standards & Skills Planning worked example

Staffing Gap at 65% expected staffed-line uptime: a worked example

This worked example runs the staffing gap numbers for a tougher week than the baseline: 65% expected staffed-line uptime instead of the typical 90%. Estimate staffing gap for workforce, labor standards and skills planning using production-ready inputs so teams can confirm whether capacity can cover demand before committing the schedule.

The inputs for this scenario

  • Good units one staffed line produces per cycle: 4 units / cycle (held at the documented default)
  • Staffed production cycles available in the period: 480 cycles (held at the documented default)
  • Expected staffed-line uptime: 65 % (the input this scenario stresses; the baseline uses 90)
  • Expected first-pass yield at planned staffing: 97 % (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Gross staffing gap capacity = staffing gap output per cycle × available staffing gap cycles.
  • Good staffing gap capacity works out to 1,211 units at these inputs, and this is the headline figure for the scenario.
  • Gross staffing gap capacity works out to 1,920 units at these inputs.
  • Staffing gap downtime loss works out to 672 units at these inputs.
  • Staffing gap yield loss works out to 37.44 units at these inputs.

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 27.78% below the baseline at 1,211 units.
  • Use it when sizing crew levels against a demand target, comparing overtime with adding a shift, or checking whether a rebalanced line still covers the order book. A result at this level usually justifies acting on the stressed input before touching anything else, because every other figure in the table is downstream of it.

Results at a glance

  • Good staffing gap capacity: 1,211 units (headline result)
  • Gross staffing gap capacity: 1,920 units
  • Staffing gap downtime loss: 672 units
  • Staffing gap yield loss: 37.44 units

Run it with your numbers

  • To rerun this with your own numbers, open the live Staffing Gap calculator, set expected staffed-line uptime to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.