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Cp · Cpk · DPMO · sigma level

Process Capability Console

Capability is how well a process fits its spec, in spread and centering. From a mean, sigma and spec limits, compute Cp, Cpk, the defect rate (DPMO), the yield and the equivalent sigma level — with the distribution and its out-of-spec tails drawn.

01 · Quick estimate

Mean, sigma & spec limits → Cpk and defect rate.

Cpk
1.33
63 DPMO
Distribution, DPMO & sigma level ↓
02 · Deep analysis

Capability console

Process distribution
Process distribution with spec limits and out-of-spec tailsLSLUSLμ
Cp (spread)
1.33
Cpu
1.33
Cpl
1.33
1.33Cpk
Capable (≥1.33)

Spread and centering are balanced (Cp ≈ Cpk). To improve, reduce variation.

DPMO
63
Yield
99.9937%
Sigma level
5.5σ
1.5σ shift
Read-out

Cpk 1.33 corresponds to 63 defects per million (99.9937% yield) and a 5.5σ level. Above the usual 1.33 release gate.

Tie capability to output in the Defect Density and Yield consoles.

Why it matters

Why Cpk is the number that ships

Cpk folds spread and centering into one number

Cp measures only the spread against the spec width; Cpk also penalizes being off-center. A process can have a great Cp and a poor Cpk if it's drifted toward a limit — which is why Cpk, not Cp, is the capability metric that matters.

Every 0.33 of Cpk is roughly a sigma level

Cpk 1.0 is ~3σ (2,700 DPMO), 1.33 is ~4σ, 1.67 is ~5σ, and 2.0 is the famous Six Sigma (~3.4 DPMO with the 1.5σ shift). The capability index and the sigma level are two views of the same thing.

Defects fall exponentially with capability

Improving Cpk doesn't cut defects linearly — going from 1.0 to 1.33 drops DPMO from thousands to dozens. The tail of a normal distribution shrinks fast, which is why the last increments of capability are so valuable.

Centering is often the cheapest win

If a process is capable in spread but off-center, recentering the mean — often a simple adjustment — can lift Cpk dramatically without reducing variation at all. Always check centering before chasing variance reduction.

Field notes

Spread, centering, and the tails that bite

Process capability answers a deceptively simple question: will this process reliably make parts inside the specification? The honest answer needs two things — how tightly the output is grouped, and where that group sits relative to the limits. Cp captures the first; Cpk captures both, and that's why Cpk is the number that gates production while Cp is just the best case.

The mechanism is in the tails. A normal process produces most of its output near the mean, but the tails extend toward the spec limits, and any part beyond a limit is a defect. Cpk works by measuring, in standard deviations, the distance from the mean to the nearest limit, and taking the worse of the two sides — because the closer limit's tail produces most of the defects. Drift toward one limit shrinks that distance and Cpk drops, even if the spread never changed. The shaded tails in this console are literally the defect rate.

That tail behavior is exponential, which has a profound practical consequence: capability improvements pay off faster than they look. Moving Cpk from 1.0 to 1.33 isn't a 33% defect reduction — it's from about 2,700 defects per million down to about 63, because the normal tail collapses as you push the limit further out. This is the whole logic of Six Sigma: chase capability into the far tail where defects become vanishingly rare.

The actionable insight is to diagnose before you fix. If Cp is healthy but Cpk is low, the problem is centering — often a cheap mean adjustment recovers it without touching variation. If Cp itself is low, you must reduce variation, which is harder. This console's Cp-versus-Cpk gap and Cpu/Cpl split tell you which. Then connect capability to fab output via the Defect Density and Yield consoles.

Process Capability FAQs

Have more questions? Contact us

Trusted by SPC, Quality & Yield Teams

4.8
Based on 3,030 reviews

Cp and Cpk side by side with the Cpu/Cpl split is exactly how I diagnose whether a process problem is spread or centering. The bell curve with shaded out-of-spec tails makes it instantly clear to the line. DPMO and sigma level for free — covers every audience.

D
Dr. Karin Bauer
Process / SPC engineer
June 12, 2026

The Cpk-to-sigma-to-DPMO triangle in one view ends the translation arguments between our Six Sigma and quality teams. Showing that recentering recovers Cpk without reducing variation is the lesson that saves the most time. Clean and exact.

A
Anil Kapoor
Quality engineering lead
May 3, 2026

Fast capability checks against our 1.33 release gate, with the bands matching our spec. The exponential drop in DPMO as Cpk climbs is well visualized. Would love non-normal/Box-Cox handling, but for normal processes it's spot on.

M
Mei Chen
Fab yield engineer
March 13, 2026

I use it daily for capability studies — enter mean, sigma and limits, read Cpk and the defect rate. The off-center preset is a great teaching tool for why Cpk beats Cp. Accurate to my Minitab output.

T
Tomás Vega
Manufacturing quality
December 30, 2025

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Cpk = min[(USL−μ)/3σ, (μ−LSL)/3σ] · DPMO = 10⁶ × P(outside spec) · sigma level ≈ 3·Cpk + 1.5 · Last reviewed: 2026-06