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Tolerance Stack-Up Analyzer

Worst case · RSS · Benderized · Cpk-corrected · Monte Carlo

Dimensional Loop — Contributors

Feature Nominal ± Tol Dir Cpk
Assign + to dimensions that close the gap, to those that open it. Click the Dir cell to flip. Each ± tolerance is treated as ±3σ of a centered normal process (the standard RSS assumption); Cpk < 1 widens the effective tolerance.

Results

Monte Carlo — 100,000 assemblies

Variance Contribution

Method notes & formulas

Worst case T_WC = Σ|tᵢ| — guarantees every in-tolerance assembly passes. Use for safety-critical or <10 units.

RSS T_RSS = √(Σtᵢ²) — assembly ±3σ; 99.73% within if centered & normal.

Benderized 1.5·t_max + √(Σ_other tᵢ²) — hybrid for one dominant contributor.

Cpk-corrected tᵢ,eff = tᵢ / Cpkᵢ then RSS — accounts for off-center processes.

Monte Carlo — 10⁵ centered-normal samples per contributor, summed by direction; failure rate read directly from the tails.

Yield % for the statistical methods = 2Φ(T_allow/σ)−1, σ from each method's assembly tolerance.