How do you calculate burn-in capacity per week?

Multiply boards per batch by available batches for gross capacity, then apply chamber uptime and burn-in pass yield. With 96 boards/batch, 18 batches, 92% uptime and 98% yield you get 1,728 gross and 1,558 usable boards/week.

What is a good burn-in pass yield for control boards?

Well-controlled appliance PCBA lines see 98-99.5% burn-in pass yield, since burn-in screens a small infant-mortality tail. The 98% default leaves about 32 boards/week failed or held in the example.

Why does chamber uptime matter so much?

Burn-in cycles are long, so a stopped chamber idles a full batch slot. At 92% uptime the line loses 138 boards/week purely to chamber downtime, more than four times its post-burn-in failures.

How many boards fail or are held after burn-in?

In the example, about 32 boards/week fail or are held after burn-in. A rising number signals a real reliability problem upstream, not just normal screening.

Is burn-in usually the bottleneck?

It often is, because chamber dwell time is fixed and capacity-intensive. Run this alongside your line capacity calculator to confirm whether burn-in or the SMT constraint sets weekly output.

How do I add burn-in capacity?

Add chambers, increase batch density, or shorten validated dwell time. Lifting uptime from 92% to 96% here recovers roughly 70 boards/week without new hardware.

Appliance Electronics & Control Boards calculator

Control Board Burn-In Capacity Calculator

Burn-in is the gate that screens infant-mortality failures out of appliance control boards before they reach a refrigerator or oven, and the chamber count often caps how many boards a plant can ship per week. This calculator turns batch size and weekly batch availability into usable good-board throughput after chamber uptime and burn-in pass yield. Reliability and test engineers use it to size chamber fleets, schedule burn-in slots, and see whether burn-in is the program's true ceiling. It also separates boards lost to chamber downtime from boards failed or held after stress, which drives different corrective actions.

What this calculator does

Estimate appliance control board burn-in capacity from boards per burn-in batch, available batches, chamber uptime, and burn-in pass yield.
a reliability or production engineer needs to verify whether burn-in chambers can support appliance board volume
It computes weekly usable burn-in throughput by applying chamber uptime and burn-in pass yield to gross batch capacity.

Formula used

Gross burn-in board capacity = boards loaded per burn-in batch × available burn-in batches
Usable burn-in board capacity = gross burn-in capacity × burn-in chamber uptime × burn-in pass yield

Inputs explained

Boards loaded per burn-in batch:
Available burn-in batches:
Burn-in chamber uptime:
Burn-in pass yield:

How to use the result

Use it to size burn-in chamber fleets or check whether burn-in is the weekly throughput constraint for a control board program.
It assumes full batches every cycle; partial loads from mixed product or scheduling gaps reduce effective batch size and the calculator will overstate throughput.

Current U.S. benchmarks

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Common questions

How do you calculate burn-in capacity per week? Multiply boards per batch by available batches for gross capacity, then apply chamber uptime and burn-in pass yield. With 96 boards/batch, 18 batches, 92% uptime and 98% yield you get 1,728 gross and 1,558 usable boards/week.
What is a good burn-in pass yield for control boards? Well-controlled appliance PCBA lines see 98-99.5% burn-in pass yield, since burn-in screens a small infant-mortality tail. The 98% default leaves about 32 boards/week failed or held in the example.
Why does chamber uptime matter so much? Burn-in cycles are long, so a stopped chamber idles a full batch slot. At 92% uptime the line loses 138 boards/week purely to chamber downtime, more than four times its post-burn-in failures.
How many boards fail or are held after burn-in? In the example, about 32 boards/week fail or are held after burn-in. A rising number signals a real reliability problem upstream, not just normal screening.
Is burn-in usually the bottleneck? It often is, because chamber dwell time is fixed and capacity-intensive. Run this alongside your line capacity calculator to confirm whether burn-in or the SMT constraint sets weekly output.

Last reviewed 2026-05-12.