PPE & Infection Control Products worked example

Capacity Gap at 65% line uptime after changeovers & jams: a worked example in ppe & infection control products

Here is what the math looks like when conditions slip. We hold every other input steady and drop line uptime after changeovers & jams to 65%, then walk the calculation through step by step. Estimate capacity gap for ppe and infection control products using production-ready inputs so teams can confirm whether capacity can cover demand before committing the schedule.

The inputs for this scenario

  • Mask/respirator units per production cycle: 4 units / cycle (held at the documented default)
  • Available machine cycles in the shift: 480 cycles (held at the documented default)
  • Line uptime after changeovers & jams: 65 % (the input this scenario stresses; the baseline uses 90)
  • First-pass yield after seal & filtration checks: 97 % (held at the documented default)

Working through the calculation

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

How this compares with the baseline

  • Against the tool's baseline example, where line uptime after changeovers & jams 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 line uptime after changeovers & jams, so recovering it is worth quantifying in dollars before considering equipment or staffing changes. It assumes a steady cycle rate and fixed uptime/yield; real ramp periods, material stockouts and batch quality swings can push actual output below the model.

Results at a glance

  • Good capacity gap capacity: 1,211 units (headline result)
  • Gross capacity gap capacity: 1,920 units
  • Capacity gap downtime loss: 672 units
  • Capacity gap yield loss: 37.44 units

Run it with your numbers

  • To rerun this with your own numbers, open the live Capacity Gap calculator, set line uptime after changeovers & jams to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.