I — Datum

Engineering Whitepapers
In-depth technical publications on statistical methods, quality engineering, and process improvement. Written for practicing engineers. Free to read.
Ref: AIAG SPC Manual · Montgomery, 8th Ed. · ISO 22514-2 · ASTM E2281

II — Publications Index

# Publication Domain
1 Cost of Quality: What You're Not Measuring The PAF model, the hidden factory, and how to connect quality costs to process capability. A COQ framework for discrete manufacturing. Quality Economics
2 Measurement System Analysis Beyond the Gage R&R Bias, linearity, stability, resolution, nested studies, and attribute agreement. What most MSA programs skip. Measurement System Analysis
3 Control Chart Selection: Matching the Chart to the Data Decision tree for SPC chart selection. Variables charts, attributes charts, time-weighted charts, Nelson rules, and rational subgrouping. Statistical Process Control
4 Designing Experiments for Manufacturing: A DOE Field Guide Full and fractional factorials, response surface methods, and how to fit DOE into a production schedule. Design of Experiments
5 Why Operational Insights Die — and What a Closed-Loop System Looks Like The structural reason 70% of improvement programs fail isn't a lack of analysis. It's a lack of connection between analysis, action, and strategy. Here's the pattern — and the architecture that breaks it. Operational Excellence
6 Bayesian vs. Frequentist SPC: When the Prior Matters Posterior distributions for Cpk. Credible intervals vs confidence intervals. Worked examples showing when the method changes the accept/reject decision. Bayesian Statistics
7 A Practitioner's Guide to Process Capability Analysis Cp, Cpk, Pp, Ppk from first principles. Non-normal data, confidence intervals, and when capability indices mislead. Statistical Process Control

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