How do you calculate burn-in test capacity?

Multiply units per cycle by available cycles for gross capacity, then multiply by rack uptime and pass yield (as decimals). For 4 units x 480 cycles x 0.90 x 0.97 = about 1,676 good units per shift from 1,920 gross slots.

What's the difference between gross and good burn-in capacity?

Gross capacity is total slot-cycles available (1,920 in the example). Good capacity is what survives downtime and yield loss — 1,676 here — and that's the number you can actually ship after soak test.

How much capacity does rack downtime cost?

At 90% uptime on 1,920 gross slots, downtime alone removes 192 units per shift before yield is even applied. Improving rack availability is often the cheapest way to lift usable burn-in throughput.

What is a typical burn-in pass yield?

For repaired and refurbished units, burn-in pass yield commonly sits in the high 90s because gross faults were already caught at functional test; 97% is a reasonable planning figure. Low burn-in yield signals latent defects surviving earlier gates.

How do I keep burn-in from becoming the bottleneck?

Compare good burn-in capacity against your repair output per shift. If repair delivers more units than burn-in's ~1,676 good capacity, add racks, lengthen cycles, or raise uptime so soak test doesn't queue finished repairs.

Does longer soak time change the capacity?

Yes — longer soak per unit means fewer available cycles per shift, lowering gross capacity. If you extend the soak duration, reduce the available-cycles input accordingly before reading the result.

Electronics Repair, Refurbishment & Depot Operations calculator

Burn-In Test Capacity Calculator

Burn-in test capacity is the number of good units a burn-in operation can deliver per shift after accounting for rack uptime and pass yield. Reliability and test engineers in repair and refurb depots use it to size burn-in racks against repair throughput, so the soak-test stage doesn't become the chokepoint before shipment. It matters because burn-in is slow and capacity-limited by design: each rack holds a fixed number of units per cycle, and both downtime and infant-mortality failures erode the usable output. This calculator separates gross slots from the good units you can actually ship.

What this calculator does

Estimate good burn-in test capacity for repaired or refurbished electronics after rack slots, test cycles, uptime, and final pass yield are considered.
Use it when burn-in test capacity in electronics repair, refurbishment and depot operations is being asked to take on more work and you need to know if there is room.
It computes good burn-in capacity per shift from units per cycle and available cycles, derated for rack uptime and expected pass yield.

Formula used

Gross burn-in capacity = units loaded per burn-in cycle × available burn-in cycles
Good burn-in test capacity = gross burn-in capacity × expected burn-in rack uptime × expected burn-in pass yield

Inputs explained

Units loaded per burn-in cycle:
Available burn-in cycles:
Expected burn-in rack uptime:
Expected burn-in pass yield:

How to use the result

Use it to size burn-in racks against repair output, plan shift capacity, or check whether burn-in is gating shipments.
It assumes every rack slot is filled every cycle; partial loads, mixed soak durations, or staggered cycle times reduce real capacity below the calculated figure.

Current U.S. benchmarks

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Common questions

How do you calculate burn-in test capacity? Multiply units per cycle by available cycles for gross capacity, then multiply by rack uptime and pass yield (as decimals). For 4 units x 480 cycles x 0.90 x 0.97 = about 1,676 good units per shift from 1,920 gross slots.
What's the difference between gross and good burn-in capacity? Gross capacity is total slot-cycles available (1,920 in the example). Good capacity is what survives downtime and yield loss — 1,676 here — and that's the number you can actually ship after soak test.
How much capacity does rack downtime cost? At 90% uptime on 1,920 gross slots, downtime alone removes 192 units per shift before yield is even applied. Improving rack availability is often the cheapest way to lift usable burn-in throughput.
What is a typical burn-in pass yield? For repaired and refurbished units, burn-in pass yield commonly sits in the high 90s because gross faults were already caught at functional test; 97% is a reasonable planning figure. Low burn-in yield signals latent defects surviving earlier gates.
How do I keep burn-in from becoming the bottleneck? Compare good burn-in capacity against your repair output per shift. If repair delivers more units than burn-in's ~1,676 good capacity, add racks, lengthen cycles, or raise uptime so soak test doesn't queue finished repairs.

Last reviewed 2026-05-12.