Additive Manufacturing worked example
Build Batch Capacity at 65% equipment uptime: a worked example
This worked example runs the build batch capacity numbers for a tougher week than the baseline: 65% equipment uptime instead of the typical 90%. Estimate good additive batch output across machines or build cycles after uptime and yield losses.
The inputs for this scenario
- Parts per build cycle: 60 parts / cycle (held at the documented default)
- Build cycles available: 8 cycles (held at the documented default)
- Equipment uptime: 65 % (the input this scenario stresses; the baseline uses 90)
- Accepted print yield: 94 % (held at the documented default)
Working through the calculation
- The calculation starts from the formula this tool documents: Gross batch capacity = parts per cycle × build cycles available.
- Good batch capacity works out to 293 parts at these inputs, and this is the headline figure for the scenario.
- Gross batch capacity works out to 480 parts at these inputs.
- Availability loss works out to 168 parts at these inputs.
- Rejected part loss works out to 18.72 parts at these inputs.
How this compares with the baseline
- Against the tool's baseline example, where equipment uptime sits at 90% and the headline result is 406 parts, this scenario comes in 27.78% below the baseline at 293 parts.
- Use it when planning a production batch, validating an order against available cycles, or comparing availability vs yield improvements. A result at this level usually justifies acting on the stressed input before touching anything else, because every other figure in the table is downstream of it.
Results at a glance
- Good batch capacity: 293 parts (headline result)
- Gross batch capacity: 480 parts
- Availability loss: 168 parts
- Rejected part loss: 18.72 parts
Run it with your numbers
- To rerun this with your own numbers, open the live Build Batch Capacity calculator, set equipment uptime to your actual value, and adjust the remaining inputs to match your operation.
Last reviewed 2026-05-12.