Tooling, Fixtures, Dies & Mold Economics worked example

Tooling Backlog at 65% expected press uptime: a worked example

Here is what the math looks like when conditions slip. We hold every other input steady and drop expected press uptime to 65%, then walk the calculation through step by step. Estimate tooling backlog 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 tooling cycle: 4 units / cycle (held at the documented default)
  • Tooling cycles available in the window: 480 cycles (held at the documented default)
  • Expected press uptime: 65 % (the input this scenario stresses; the baseline uses 90)
  • Expected first-pass yield: 97 % (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Gross tooling backlog capacity = tooling backlog output per cycle × available tooling backlog cycles.
  • Good tooling backlog capacity works out to 1,211 units at these inputs, and this is the headline figure for the scenario.
  • Gross tooling backlog capacity works out to 1,920 units at these inputs.
  • Tooling backlog downtime loss works out to 672 units at these inputs.
  • Tooling backlog 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 press 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.
  • The practical read: the gap between this scenario and the baseline is entirely attributable to expected press uptime, so recovering it is worth quantifying in dollars before considering equipment or staffing changes. It assumes uptime and yield are independent and hold steady; a worn tool whose yield degrades as it runs, or ramp-up scrap on a new tool, will produce fewer good parts than the flat percentages predict.

Results at a glance

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

Run it with your numbers

  • To rerun this with your own numbers, open the live Tooling Backlog calculator, set expected press uptime to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.