Office, School & Institutional Products worked example

SKU Replenishment Quantity at 65% expected line uptime: a worked example

Here is what the math looks like when conditions slip. We hold every other input steady and drop expected line uptime to 65%, then walk the calculation through step by step. Estimate SKU replenishment quantity for office, school and institutional products using production-ready inputs so teams can confirm whether capacity can cover demand before committing the schedule.

The inputs for this scenario

  • Replenishment output per production cycle: 4 units / cycle (held at the documented default)
  • Available production cycles in the window: 480 cycles (held at the documented default)
  • Expected line uptime: 65 % (the input this scenario stresses; the baseline uses 90)
  • Expected first-pass yield: 97 % (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Gross SKU replenishment quantity capacity = SKU replenishment quantity output per cycle × available SKU replenishment quantity cycles.
  • Good SKU replenishment quantity capacity works out to 1,211 units at these inputs, and this is the headline figure for the scenario.
  • Gross SKU replenishment quantity capacity works out to 1,920 units at these inputs.
  • SKU replenishment quantity downtime loss works out to 672 units at these inputs.
  • SKU replenishment quantity yield loss works out to 37.44 units at these inputs.

How this compares with the baseline

  • Against the tool's baseline example, where expected line uptime sits at 90% and the headline result is 1,676 units, this scenario comes in 27.78% below the baseline at 1,211 units.
  • The practical read: the gap between this scenario and the baseline is entirely attributable to expected line uptime, so recovering it is worth quantifying in dollars before considering equipment or staffing changes. It uses single average uptime and yield figures, so it won't capture a line that degrades over a long run or a SKU with bimodal scrap behavior.

Results at a glance

  • Good SKU replenishment quantity capacity: 1,211 units (headline result)
  • Gross SKU replenishment quantity capacity: 1,920 units
  • SKU replenishment quantity downtime loss: 672 units
  • SKU replenishment quantity yield loss: 37.44 units

Run it with your numbers

  • To rerun this with your own numbers, open the live SKU Replenishment Quantity calculator, set expected line uptime to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.