Precision Springs, Stampings & Micro-Formed Components worked example

Production Ramp Planner at 99% expected press and coiler uptime during ramp: a worked example in precision springs, stampings & micro-formed components

What does the result look like when expected press and coiler uptime during ramp reaches 99%? The full calculation is worked below with real intermediate numbers. Use it when production ramp planner in precision springs, stampings and micro-formed components is being asked to take on more work and you need to know if there is room.

The inputs for this scenario

  • Parts formed per press or coiler cycle: 4 units / cycle (unchanged)
  • Scheduled cycles across the ramp window: 480 cycles (unchanged)
  • Expected press/coiler uptime during ramp: 99 % (raised for this scenario; the documented default is 90)
  • Expected first-pass yield during ramp: 97 % (unchanged)

Working through the calculation

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

How this compares with the baseline

  • Against the tool's baseline example, where expected press and coiler uptime during 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 press and coiler uptime during ramp is genuinely sustained, not just peaked for a shift. It applies a single flat uptime and yield across the whole window, so it will not capture a learning curve where both improve cycle over cycle; model early and late phases separately for a truer ramp.

Results at a glance

  • Good production ramp planner capacity: 1,844 units (headline result)
  • Gross production ramp planner capacity: 1,920 units
  • Production ramp planner downtime loss: 19.2 units
  • Production ramp planner yield loss: 57.02 units

Run it with your numbers

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

Last reviewed 2026-05-12.