Powder Metallurgy & Sintered Parts worked example
Sinter Furnace Capacity at 99% furnace uptime: a worked example
This scenario runs the sinter furnace capacity calculation on the strong side: 99% furnace uptime, with every other input held at its documented default. Use it when sinter furnace capacity in powder metallurgy and sintered parts is being asked to take on more work and you need to know if there is room.
The inputs for this scenario
- Green parts loaded per furnace cycle: 4 units / cycle (unchanged)
- Available sinter cycles in the period: 480 cycles (unchanged)
- Furnace uptime (scheduled availability): 99 % (raised for this scenario; the documented default is 90)
- Post-sinter yield (good parts after inspection): 97 % (unchanged)
Working through the calculation
- Applying the documented formula (Gross sinter furnace capacity capacity = units per cycle × available cycles) to the inputs above produces each figure below.
- At this operating point the engine returns 1,844 units for good output capacity, the number this scenario is built around.
- At this operating point the engine returns 1,920 units for gross capacity.
- At this operating point the engine returns 19.2 units for uptime loss.
- At this operating point the engine returns 57.02 units for yield loss.
How this compares with the baseline
- Against the tool's baseline example, where furnace uptime sits at 90% and the headline result is 1,676 units, this scenario comes in 10% above the baseline at 1,844 units.
- Use it when quoting delivery volumes, evaluating whether one furnace can carry a new part number, or building a capacity case for a second sinter line. Treat this as a target state: the delta against the baseline quantifies what the improvement is worth before you commit to chasing it.
Results at a glance
- Good output capacity: 1,844 units (headline result)
- Gross capacity: 1,920 units
- Uptime loss: 19.2 units
- Yield loss: 57.02 units
Run it with your numbers
- Every input above is editable in the live Sinter Furnace Capacity calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.