Tooling, Fixtures, Dies & Mold Economics worked example

Preventive Tooling Maintenance at 65% expected tooling uptime between pms: a worked example

Here is what the math looks like when conditions slip. We hold every other input steady and drop expected tooling uptime between pms to 65%, then walk the calculation through step by step. Estimate preventive tooling maintenance for tooling, fixtures, dies and mold economics using production-ready inputs so teams can confirm whether capacity can cover demand before committing the schedule.

The inputs for this scenario

  • Parts produced per maintenance cycle: 4 units / cycle (held at the documented default)
  • Maintenance cycles available in the period: 480 cycles (held at the documented default)
  • Expected tooling uptime between PMs: 65 % (the input this scenario stresses; the baseline uses 90)
  • Expected first-pass yield after PM: 97 % (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Gross preventive tooling maintenance capacity = preventive tooling maintenance output per cycle × available preventive tooling maintenance cycles.
  • Good preventive tooling maintenance capacity works out to 1,211 units at these inputs, and this is the headline figure for the scenario.
  • Gross preventive tooling maintenance capacity works out to 1,920 units at these inputs.
  • Preventive tooling maintenance downtime loss works out to 672 units at these inputs.
  • Preventive tooling maintenance 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 tooling uptime between pms sits at 90% and the headline result is 1,676 units, this scenario comes in 27.78% below the baseline at 1,211 units.
  • The practical read: the gap between this scenario and the baseline is entirely attributable to expected tooling uptime between pms, so recovering it is worth quantifying in dollars before considering equipment or staffing changes. Uptime and yield are entered as flat expected percentages, so it assumes the tool holds those rates across the whole period; a tool degrading toward end-of-life between PMs will underperform the estimate.

Results at a glance

  • Good preventive tooling maintenance capacity: 1,211 units (headline result)
  • Gross preventive tooling maintenance capacity: 1,920 units
  • Preventive tooling maintenance downtime loss: 672 units
  • Preventive tooling maintenance yield loss: 37.44 units

Run it with your numbers

  • To rerun this with your own numbers, open the live Preventive Tooling Maintenance calculator, set expected tooling uptime between pms to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.