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.
Mean, sigma & spec limits → Cpk and defect rate.
Capability console
Spread and centering are balanced (Cp ≈ Cpk). To improve, reduce variation.
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 Cpk is the number that ships
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.
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.
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.
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.
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.
Trusted by SPC, Quality & Yield Teams
“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.”
“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.”
“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.”
“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.”
Love using our calculator?
Related tools
Similar Calculators
More tools in the same category
Yield Predictor
Predict wafer yield using real-time manufacturing parameters, inline metrology data, and machine-learning models trained on historical fab datasets. Integrates defect inspection, electrical test, and reliability data for proactive yield optimization and excursion detection.
Wafer Map Analyzer
Analyze wafer defect maps with spatial pattern recognition, clustering algorithms, and root-cause correlation to equipment, process steps, and reticle issues. Supports SEMI E142 standard formats with automated signature matching and fab-wide defect trending.
Defect Density Calculator
Calculate defect density impact on manufacturing output using critical area analysis, random-defect modeling, and systematic-defect overlay. Supports yield-learning curves, D0 improvement tracking, and fab-to-fab benchmarking for continuous process improvement.
Process Variation Analyzer
Evaluate process variation effects on yield, performance, and power using statistical corner modeling, Monte Carlo simulation, and design-for-manufacturing (DFM) rule compliance. Analyzes lithography proximity effects, etch loading, and CMP uniformity impact on parametric yield.
Root Cause Finder
Identify likely causes of yield losses and failures using AI-powered correlation engines that link electrical failures, physical defects, and process-parameter excursions. Supports Pareto analysis, fishbone diagrams, and automated hypothesis generation for rapid fab troubleshooting.
Failure Analysis Assistant
Assist engineers in diagnosing semiconductor failures with guided workflows from electrical characterization to physical deprocessing, SEM/TEM imaging, and spectroscopic analysis. Integrates failure-mode libraries, similar-case matching, and FA lab scheduling optimization.
Often Used Together
Complementary tools for complete analysis
Related Articles
Dive deeper with our expert guides and tutorials related to Process Capability Calculator
Cpk = min[(USL−μ)/3σ, (μ−LSL)/3σ] · DPMO = 10⁶ × P(outside spec) · sigma level ≈ 3·Cpk + 1.5 · Last reviewed: 2026-06