Additive Manufacturing worked example
Additive Production Capacity at 99% am cell uptime: a worked example
Push am cell uptime up to 99% and the picture changes. This example computes every intermediate figure at that operating point. a production manager needs expected good AM output for a week, month, or order window
The inputs for this scenario
- Build output per cycle: 75 parts / cycle (unchanged)
- Available build cycles: 12 cycles (unchanged)
- AM cell uptime: 99 % (raised for this scenario; the documented default is 88)
- Accepted part yield: 95 % (unchanged)
Working through the calculation
- Applying the documented formula (Gross production capacity = build output per cycle × available build cycles) to the inputs above produces each figure below.
- At this operating point the engine returns 846 parts for good production capacity, the number this scenario is built around.
- At this operating point the engine returns 900 parts for gross print capacity.
- At this operating point the engine returns 9 parts for uptime capacity loss.
- At this operating point the engine returns 44.55 parts for rejected part loss.
How this compares with the baseline
- Against the tool's baseline example, where am cell uptime sits at 88% and the headline result is 752 parts, this scenario comes in 12.5% above the baseline at 846 parts.
- It computes good production capacity by multiplying build output per cycle by available cycles to get gross capacity, then applying AM cell uptime and accepted part yield. The value of this scenario is the size of the gap it exposes: that gap, priced out over a year, is the budget you can justify spending to close it.
Results at a glance
- Good production capacity: 846 parts (headline result)
- Gross print capacity: 900 parts
- Uptime capacity loss: 9 parts
- Rejected part loss: 44.55 parts
Run it with your numbers
- Every input above is editable in the live Additive Production Capacity calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.