How to Optimize: Learning from DTAS Results

Mar. 26, 2022

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DTAS 3D Simulation Outputs

DTAS 3D applies Monte Carlo simulation to model product tolerances and assembly relationships, predicting whether critical dimensions will be met, estimating yield, and supporting root‑cause analysis. Key result types include:

1.Statistical Parameters – Min/max, mean, standard deviation, pass rate, skewness, kurtosis.

2.Distribution Fitting – Supports normal, uniform, gamma, beta, etc.; provides quantiles and deviation‑limit estimates.

3.Confidence Intervals – Probability‑based ranges for statistical parameters (e.g., mean).

4.Transfer Coefficients & Contributions – Sensitivity metrics linking geometry and tolerance influence; used with extreme‑value or statistical methods for design optimization.

How to Optimize: Learning from DTAS Results


DTAS is committed to innovation and complete customer satisfaction. We thank every partner for their trust and will continue to improve to exceed expectations.


About DTAS


As a high‑tech company specializing in product‑development tolerance analysis, we follow the principle of “technology‑driven, service‑first.” We deliver advanced engineering software and consulting to optimize workflows, improve tool utilization, and translate advanced methods into real manufacturing advantage.


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Importing DTAS 3D Geometry Data

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