Workforce, Labor Standards & Skills Planning worked example

Learning Curve Output at 65% expected line uptime across the ramp: a worked example

Suppose expected line uptime across the ramp falls to 65%. This page works the full calculation at that level so you can see exactly which result moves and by how much. Estimate learning curve output 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

  • Units produced per production cycle at current skill level: 4 units / cycle (held at the documented default)
  • Number of production cycles in the planning horizon: 480 cycles (held at the documented default)
  • Expected line uptime across the ramp: 65 % (the input this scenario stresses; the baseline uses 90)
  • Expected first-pass yield during the learning period: 97 % (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Gross learning curve output capacity = learning curve output output per cycle × available learning curve output cycles.
  • Good learning curve output capacity works out to 1,211 units at these inputs, and this is the headline figure for the scenario.
  • Gross learning curve output capacity works out to 1,920 units at these inputs.
  • Learning curve output downtime loss works out to 672 units at these inputs.
  • Learning curve output 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 line uptime across the ramp sits at 90% and the headline result is 1,676 units, this scenario comes in 27.78% below the baseline at 1,211 units.
  • It computes good learning-curve output by taking gross capacity (output per cycle times available cycles) and derating it for expected uptime and expected first-pass yield. When the numbers land here, the stressed input is the lever to work; the walkthrough above shows exactly how much each output recovers as it climbs back toward the baseline.

Results at a glance

  • Good learning curve output capacity: 1,211 units (headline result)
  • Gross learning curve output capacity: 1,920 units
  • Learning curve output downtime loss: 672 units
  • Learning curve output yield loss: 37.44 units

Run it with your numbers

  • To rerun this with your own numbers, open the live Learning Curve Output calculator, set expected line uptime across the ramp to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.