How do you calculate the capacity gap on a kiosk assembly line?

Multiply units per cycle by available cycles for gross capacity, then multiply by uptime and first-pass yield. With 4 units/cycle over 480 cycles at 90% uptime and 97% yield, gross is 1,920 units but good capacity is only 1,676 — a gap of about 244 units.

What is a good first-pass yield for self-service kiosks?

Mature vending and payment-kiosk cells run 95-98% first-pass yield at final functional test. The 97% default here loses roughly 52 units to yield; anything below 92% usually means a connectivity, dispenser, or firmware flashing problem worth root-causing before you commit to a rollout.

Why is gross capacity higher than good capacity?

Gross capacity assumes the cell never stops and every kiosk passes test. Real lines lose units to downtime (192 units at 90% uptime here) and to test failures (about 52 units), so good capacity of 1,676 is what you can actually ship.

Capacity gap vs OEE — what's the difference?

OEE is a percentage score blending availability, performance, and quality. Capacity Gap converts those same losses into an absolute unit count, which is what you need when a customer wants 1,500 kiosks by a date, not a 87% score.

How do I close the capacity gap without adding a shift?

Attack the two loss lines directly: raising uptime from 90% to 95% recovers roughly 96 units, and raising first-pass yield reduces the ~52-unit yield loss. Both are usually cheaper than a second shift and target the specific failure — downtime or test rejects.

Does this account for rework recovery?

No. Good capacity counts only units that pass first time. Kiosks reworked and re-tested may still ship, so if your line recovers most rework, treat good capacity as a conservative floor and track rework separately with a rework-cost calculation.

Vending, Kiosk & Self-Service Equipment calculator

Capacity Gap Calculator

Capacity Gap measures the difference between the kiosks your build cell could theoretically produce and the good, ship-ready units it actually delivers once downtime and test failures are subtracted. Operations managers and production planners in vending and self-service equipment manufacturing use it to decide whether a committed order — a rollout of 1,500 payment kiosks, say — is achievable on the current line or whether a shift, cell, or capital add is needed. It matters because self-service equipment carries heavy integration content (card readers, cameras, dispensers, PC stacks) that fails final functional test at higher rates than simple sheet-metal work, so gross capacity badly overstates what you can actually invoice.

What this calculator does

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.
Use it when capacity gap in vending, kiosk and self-service equipment is being asked to take on more work and you need to know if there is room.
It computes good sellable kiosk capacity by multiplying output-per-cycle and available cycles into gross capacity, then applying uptime and first-pass yield.

Formula used

Gross capacity gap capacity = capacity gap output per cycle × available capacity gap cycles
Good capacity gap capacity = gross capacity × expected capacity gap uptime × expected capacity gap first-pass yield

Inputs explained

Kiosk units assembled per production cycle:
Available assembly cycles in the plan window:
Expected line uptime on the kiosk build cell:
First-pass yield at kiosk final functional test:

How to use the result

Use it when quoting a rollout deadline, sizing a shift plan, or checking whether a demand spike outruns the build cell before you promise a ship date.
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.

Current U.S. benchmarks

Global copper trades at $13,484 per tonne (IMF via FRED, May 2026), up 41.5% in a year, and U.S. industrial electricity averages 8.66 cents per kWh. Both feed electrified-hardware unit economics.
Steel mill PPI stands at 348.53 (BLS, May 2026), up 6.7% from a year earlier. New factory orders are up 2.3% year over year (Census).

Common questions

How do you calculate the capacity gap on a kiosk assembly line? Multiply units per cycle by available cycles for gross capacity, then multiply by uptime and first-pass yield. With 4 units/cycle over 480 cycles at 90% uptime and 97% yield, gross is 1,920 units but good capacity is only 1,676 — a gap of about 244 units.
What is a good first-pass yield for self-service kiosks? Mature vending and payment-kiosk cells run 95-98% first-pass yield at final functional test. The 97% default here loses roughly 52 units to yield; anything below 92% usually means a connectivity, dispenser, or firmware flashing problem worth root-causing before you commit to a rollout.
Why is gross capacity higher than good capacity? Gross capacity assumes the cell never stops and every kiosk passes test. Real lines lose units to downtime (192 units at 90% uptime here) and to test failures (about 52 units), so good capacity of 1,676 is what you can actually ship.
Capacity gap vs OEE — what's the difference? OEE is a percentage score blending availability, performance, and quality. Capacity Gap converts those same losses into an absolute unit count, which is what you need when a customer wants 1,500 kiosks by a date, not a 87% score.
How do I close the capacity gap without adding a shift? Attack the two loss lines directly: raising uptime from 90% to 95% recovers roughly 96 units, and raising first-pass yield reduces the ~52-unit yield loss. Both are usually cheaper than a second shift and target the specific failure — downtime or test rejects.

Last reviewed 2026-05-12.