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Free DPMO & Sigma Level Calculator

Compute DPU, DPO, DPMO, process yield, and Six Sigma level from units inspected, opportunities per unit, and defects found — with the standard 1.5σ long-term shift applied. All in your browser, no account required.

HOW IT WORKS

  1. Enter your inspection data — units inspected, defect opportunities per unit, and total defects found.
  2. Read DPU, DPO, and DPMO — defects per unit, per opportunity, and per million opportunities update instantly.
  3. Check process yield — the percentage of opportunities that were defect-free.
  4. Read the sigma level — computed with the standard 1.5σ long-term shift used across Six Sigma programs.
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DPMO & Sigma Level Calculator
Defects Per Million Opportunities and Six Sigma level, with the standard 1.5σ shift.
Units Inspected
Total number of units inspected.
Opportunities per Unit
Number of independent ways each unit could have a defect.
Defects Found
Total defects found across all inspected units.
Sigma Level
3.83σ
Average — typical for many industrial processes
Sigma level includes the standard 1.5σ long-term shift used in Six Sigma programs.
Results
DPU
0.0400
DPO
0.010000
DPMO
10000.0
Process Yield
99.00%

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FREQUENTLY ASKED QUESTIONS

What is DPMO and how is it calculated?

DPMO (Defects Per Million Opportunities) measures defect rate normalized to one million chances for a defect. DPMO = (Defects ÷ (Units × Opportunities per Unit)) × 1,000,000. It lets you compare defect rates fairly across processes with different numbers of defect opportunities per unit.

What's the difference between DPU, DPO, and DPMO?

DPU (Defects Per Unit) is defects divided by units inspected — it ignores how many ways each unit could fail. DPO (Defects Per Opportunity) divides defects by the total number of defect opportunities (units × opportunities per unit), normalizing for complexity. DPMO simply scales DPO by one million so the numbers are easier to compare and read.

Why does the sigma level calculation include a 1.5 shift?

The 1.5-sigma shift accounts for long-term process drift that isn't visible in short-term data — a process centered today typically drifts up to about 1.5 standard deviations over time. Motorola introduced this convention with Six Sigma, so a process quoted as '6 sigma' (3.4 DPMO) already has the shift built in, rather than representing a purely short-term, perfectly centered distribution.

How many defect opportunities should I count per unit?

Count every independent characteristic or step that could reasonably produce a defect — for example, a PCB assembly might have one opportunity per solder joint, or a machined part might have one per critical dimension. Be consistent between measurement periods, since changing the opportunity count changes DPMO even if the true defect rate hasn't changed.

What sigma level is considered good?

3-sigma (about 66,800 DPMO) is roughly the historical industry average for many processes. 4-sigma (about 6,210 DPMO) is a common improvement target. 6-sigma (3.4 DPMO) is the benchmark for world-class quality, popularized by Motorola and GE's Six Sigma programs.

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