Additive Manufacturing worked example

Parts Per Build at 66% machine uptime: a worked example

Suppose machine uptime falls to 66%. This page works the full calculation at that level so you can see exactly which result moves and by how much. Estimate good parts per additive build from nested capacity, scheduled builds, machine uptime, and print yield.

The inputs for this scenario

  • Nested parts per build: 38 parts / build (held at the documented default)
  • Available build runs: 5 builds (held at the documented default)
  • Machine uptime: 66 % (the input this scenario stresses; the baseline uses 92)
  • Expected print yield: 96 % (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Gross parts = nested parts per build × available builds.
  • Good parts expected works out to 120 parts at these inputs, and this is the headline figure for the scenario.
  • Gross nested parts works out to 190 parts at these inputs.
  • Machine downtime loss works out to 64.6 parts at these inputs.
  • Failed or rejected parts works out to 5.02 parts at these inputs.

How this compares with the baseline

  • Against the tool's baseline example, where machine uptime sits at 92% and the headline result is 168 parts, this scenario comes in 28.26% below the baseline at 120 parts.
  • It computes good parts expected by multiplying gross nested parts by machine uptime and expected print 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 parts expected: 120 parts (headline result)
  • Gross nested parts: 190 parts
  • Machine downtime loss: 64.6 parts
  • Failed or rejected parts: 5.02 parts

Run it with your numbers

  • To rerun this with your own numbers, open the live Parts Per Build calculator, set machine uptime to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.