Vending, Kiosk & Self-Service Equipment worked example

Capacity Gap at 65% expected line uptime on the kiosk build cell: a worked example in vending, kiosk & self-service equipment

Here is what the math looks like when conditions slip. We hold every other input steady and drop expected line uptime on the kiosk build cell to 65%, then walk the calculation through step by step. Estimate capacity gap for vending, kiosk and self-service equipment using production-ready inputs so teams can confirm whether capacity can cover demand before committing the schedule.

The inputs for this scenario

  • Kiosk units assembled per production cycle: 4 units / cycle (held at the documented default)
  • Available assembly cycles in the plan window: 480 cycles (held at the documented default)
  • Expected line uptime on the kiosk build cell: 65 % (the input this scenario stresses; the baseline uses 90)
  • First-pass yield at kiosk final functional test: 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 expected line uptime on the kiosk build cell 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 on the kiosk build cell, so recovering it is worth quantifying in dollars before considering equipment or staffing changes. It treats uptime and first-pass yield as flat averages, so it will over-promise on new kiosk variants during ramp when yield is still climbing and unplanned downtime is high.

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 expected line uptime on the kiosk build cell to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.