Grain Milling, Dry Bulk Food & Feed Handling worked example
Rework/Feed Return at 94% rework handling efficiency: a worked example
This scenario runs the rework/feed return calculation on the strong side: 94% rework handling efficiency, with every other input held at its documented default. Use it when off-spec feed, fines, pellet returns, screened material, customer returns, or in-process rework must be routed back through grinding, mixing, pelleting, or loadout.
The inputs for this scenario
- Returned or rework weight to re-handle: 12,000 lb (unchanged)
- Rework handling runtime: 6 hr (unchanged)
- Rework handling efficiency: 94 % (raised for this scenario; the documented default is 82)
Working through the calculation
- Applying the documented formula (Raw rework/feed return throughput = returned or rework weight รท rework handling runtime) to the inputs above produces each figure below.
- At this operating point the engine returns 1,880 lb / hr for effective throughput, the number this scenario is built around.
- At this operating point the engine returns 2,000 lb / hr for raw rework/feed return throughput.
- At this operating point the engine returns 94 % for efficiency.
- At this operating point the engine returns 6 hr for runtime.
How this compares with the baseline
- Against the tool's baseline example, where rework handling efficiency sits at 82% and the headline result is 1,640 lb / hr, this scenario comes in 14.63% above the baseline at 1,880 lb / hr.
- Use it when planning to blend off-spec lots, screenings, or returned feed back into production and you need a realistic re-handling rate. 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
- Effective throughput: 1,880 lb / hr (headline result)
- Raw rework/feed return throughput: 2,000 lb / hr
- Efficiency: 94 %
- Runtime: 6 hr
Run it with your numbers
- Every input above is editable in the live Rework/Feed Return calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.