How do you calculate burn-in capacity?

Multiply devices loaded per oven cycle by available cycles for gross capacity, then multiply by oven uptime and post-burn-in yield. With 4 units/cycle, 480 cycles, 90% uptime and 97% yield the result is 4 × 480 × 0.90 × 0.97 = 1,676 good devices.

What limits burn-in throughput compared to other test steps?

Dwell time. A burn-in cycle can run hours versus seconds for final test, so available cycles are scarce and board load per cycle matters enormously. In the example, 480 cycles at 4 units gives just 1,920 gross slots.

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

Gross is the raw board load — 4 × 480 = 1,920 units here. Good capacity applies 90% uptime and 97% yield to reach 1,676 screened-good devices, the number that actually moves forward.

What is a good burn-in oven uptime?

Well-managed burn-in cells target 88-93% availability; long ramps, board faults, and chamber maintenance consume the rest. The 90% in the example removes 192 units before yield is applied.

Why does burn-in have yield loss?

Burn-in exists to precipitate infant-mortality failures, so some devices are supposed to fail. The 97% first-pass yield in the example represents survivors and trims 51.84 units — a healthy screen catches weak parts without over-scrapping.

How do I add burn-in capacity without buying ovens?

Raise board load per cycle with denser sockets, cut oven downtime, or shorten dwell where reliability data allows more cycles. Uptime gains are usually cheapest — each point here is worth about 19 good devices.

Semiconductor Advanced Packaging & Test calculator

Burn-in Capacity Calculator

Burn-in capacity is the number of devices a burn-in operation can successfully stress-screen and pass over a planning period, after accounting for oven and board downtime plus post-burn-in yield fallout. Reliability and test engineers use it to size burn-in oven and board fleets, plan long dwell-time schedules, and commit throughput for automotive, medical, and high-reliability parts that require infant-mortality screening. Because burn-in cycles run for hours, the cell is often a hidden capacity constraint that gets under-planned relative to sort and final test. This calculator separates the theoretical gross load from the realized good-device output and quantifies the units lost to downtime versus yield.

What this calculator does

Estimate burn-in capacity for semiconductor advanced packaging and test using production-ready inputs so teams can confirm whether capacity can cover demand before committing the schedule.
Use it when burn-in capacity in semiconductor advanced packaging and test is being asked to take on more work and you need to know if there is room.
It multiplies devices loaded per oven cycle by available cycles for gross capacity, then derates by oven uptime and post-burn-in first-pass yield to get good screened devices.

Formula used

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

Inputs explained

Burn-in devices loaded per oven cycle:
Available burn-in oven cycles:
Expected burn-in oven uptime:
Expected burn-in first-pass yield:

How to use the result

Use it to size burn-in boards and ovens, plan dwell-time schedules, and commit screened volumes for high-reliability parts.
It assumes fixed board load and yield; it does not model dwell-time-dependent cycle counts, board slot faults, thermal ramp constraints, or fallout that varies with stress duration.

Current U.S. benchmarks

The producer price index for copper and brass mill shapes stands at 559.593 (BLS, May 2026), up 76.8% from a year earlier. Quotes priced off last quarter's material cost miss this move. Global copper trades at $13,484 per tonne (IMF via FRED, May 2026).
The producer price index for plastic resins and materials stands at 319.371 (BLS, May 2026), up 19.5% from a year earlier. Quotes priced off last quarter's material cost miss this move.
The producer price index for paperboard and containers stands at 276.831 (BLS, May 2026), up 8.8% from a year earlier. Quotes priced off last quarter's material cost miss this move.
The U.S. has 11,261 computer and electronic products establishments employing about 815,443 workers (Census County Business Patterns, 2023).

Common questions

How do you calculate burn-in capacity? Multiply devices loaded per oven cycle by available cycles for gross capacity, then multiply by oven uptime and post-burn-in yield. With 4 units/cycle, 480 cycles, 90% uptime and 97% yield the result is 4 × 480 × 0.90 × 0.97 = 1,676 good devices.
What limits burn-in throughput compared to other test steps? Dwell time. A burn-in cycle can run hours versus seconds for final test, so available cycles are scarce and board load per cycle matters enormously. In the example, 480 cycles at 4 units gives just 1,920 gross slots.
What is the difference between gross and good burn-in capacity? Gross is the raw board load — 4 × 480 = 1,920 units here. Good capacity applies 90% uptime and 97% yield to reach 1,676 screened-good devices, the number that actually moves forward.
What is a good burn-in oven uptime? Well-managed burn-in cells target 88-93% availability; long ramps, board faults, and chamber maintenance consume the rest. The 90% in the example removes 192 units before yield is applied.
Why does burn-in have yield loss? Burn-in exists to precipitate infant-mortality failures, so some devices are supposed to fail. The 97% first-pass yield in the example represents survivors and trims 51.84 units — a healthy screen catches weak parts without over-scrapping.

Last reviewed 2026-05-12.