A Structured Quality Language: Integrating Python, Six Sigma, Minitab, and VDA 6.3 — Community Preview v1.0
This Community Preview white paper introduces a structured quality language that integrates four analytical tools—Python for data cleaning, Minitab for statistical modeling, Six Sigma (DMAIC) for logic, and VDA 6.3 for audit clause compliance.Designed by Scott Hsu, this framework provides a repeatable logic path for risk interpretation in engineering and supplier quality.The paper serves as a reference standard for cross-functional teams seeking objective, clause-linked insights driven by data science and quality logic. ⚠️ This version (v1.0) omits predictive regression models and proprietary governance algorithms reserved for licensed or collaborative use. Author contact: [email protected]
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-28
- DOI
- https://doi.org/10.5281/zenodo.15763696
- Primary Topic
- Data Analysis with R
- Type
- article
- Field-Weighted Citation Impact
- 0.00