Grain Milling, Dry Bulk Food & Feed Handling worked example

Inventory Shrink at 92% reconciliation efficiency: a worked example

This scenario runs the inventory shrink calculation on the strong side: 92% reconciliation efficiency, with every other input held at its documented default. Use it when a grain elevator, mill, or dry bulk warehouse needs to work through inventory shrink from moisture, dust, spillage, scale variance, handling loss, or bin measurement differences.

The inputs for this scenario

  • Shrink weight under reconciliation: 8,500 lb (unchanged)
  • Shrink review runtime: 5 hr (unchanged)
  • Reconciliation efficiency: 92 % (raised for this scenario; the documented default is 80)

Working through the calculation

  • Applying the documented formula (Raw inventory shrink review throughput = shrink weight reviewed รท shrink review runtime) to the inputs above produces each figure below.
  • At this operating point the engine returns 1,564 lb / hr for effective throughput, the number this scenario is built around.
  • At this operating point the engine returns 1,700 lb / hr for raw inventory shrink review throughput.
  • At this operating point the engine returns 92 % for efficiency.
  • At this operating point the engine returns 5 hr for runtime.

How this compares with the baseline

  • Against the tool's baseline example, where reconciliation efficiency sits at 80% and the headline result is 1,360 lb / hr, this scenario comes in 15% above the baseline at 1,564 lb / hr.
  • Use it when scoping a periodic shrink reconciliation, a year-end physical, or an investigation into an inventory variance. 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: 1,564 lb / hr (headline result)
  • Raw inventory shrink review throughput: 1,700 lb / hr
  • Efficiency: 92 %
  • Runtime: 5 hr

Run it with your numbers

  • Every input above is editable in the live Inventory Shrink calculator, which recalculates instantly and can be shared with the inputs intact.

Last reviewed 2026-05-12.