Workforce, Labor Standards & Skills Planning worked example

Learning Curve Output at 99% expected line uptime across the ramp: a worked example

What does the result look like when expected line uptime across the ramp reaches 99%? The full calculation is worked below with real intermediate numbers. Use it when learning curve output 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

  • Units produced per production cycle at current skill level: 4 units / cycle (unchanged)
  • Number of production cycles in the planning horizon: 480 cycles (unchanged)
  • Expected line uptime across the ramp: 99 % (raised for this scenario; the documented default is 90)
  • Expected first-pass yield during the learning period: 97 % (unchanged)

Working through the calculation

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

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 10% above the baseline at 1,844 units.
  • A figure at this level is achievable when expected line uptime across the ramp is genuinely sustained, not just peaked for a shift. It applies uptime and yield as flat percentages and does not model the falling defect rate that a real learning curve produces over successive cycles, so it is a period-average, not a cycle-by-cycle projection.

Results at a glance

  • Good learning curve output capacity: 1,844 units (headline result)
  • Gross learning curve output capacity: 1,920 units
  • Learning curve output downtime loss: 19.2 units
  • Learning curve output yield loss: 57.02 units

Run it with your numbers

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

Last reviewed 2026-05-12.