Features-MSA Analysis

Professional MSA Engine

Verifying measurement system reliability is essential before implementing SPC. NEXSPC features a complete MSA module strictly following AIAG standards. Stop toggling between Minitab and Excel—enter data once to auto-generate professional reports with %GRR, NDC, and Kappa values. Whether for variable data (calipers, CMM) or attribute visual inspection, NEXSPC acts as the first line of defense for data quality.

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Built-in AIAG standard algorithms. One-click analysis for Gage R&R, Linearity, Bias, and Attribute Agreement. Making every measurement trustworthy.

Gage R&R Study (Crossed)

Gage R&R Study - Crossed

For reproducible parts, the system offers standard Crossed R&R analysis. Supports multiple Operators measuring multiple Parts across multiple Trials.

Automated Metric Calculation：

One-click output of Total Variation (TV), Repeatability (EV), Reproducibility (AV), and %GRR.

Smart Interpretation：

Auto-evaluates system status per AIAG standards (<10% Excellent, 10-30% Acceptable, >30% Needs Improvement).

Chart Visualization：

Auto-generates R Charts, Xbar Charts, and Box Plots by Operator/Part to quickly pinpoint 'Operator' vs 'Gage' issues.

Gage R&R Study (Nested)

Gage R&R Study - Nested

When parts are destroyed during measurement, or when not all operators can measure the exact same part, NEXSPC provides professional Nested analysis.

ANOVA Algorithm：

Uses high-precision ANOVA models to accurately separate batch variation from measurement system variation.

Destructive Testing Exclusive：

Designed for non-repeatable scenarios like tensile tests, hardness tests, and chemical titration. Fills the calculation gap of standard Excel templates.

Gage Linearity & Bias Study

Gages must be not only stable (precise) but also accurate. NEXSPC supports joint analysis of Gage Linearity and Bias.

Full-Range Regression Analysis：

By measuring reference values covering the gage's entire operating range, the system automatically plots the bias fitted line.

Core Metric Output：

Auto-calculates R-Sq (Goodness of Fit), Slope, and P-Value.

Accuracy Verification：

Quickly determine if systemic bias exists (e.g., accurate at low values but inaccurate at high values). An essential tool for calibration labs.

Attribute Agreement Analysis

For attribute data like 'Good/Bad' or 'Pass/Fail', NEXSPC provides Attribute Agreement Analysis to solve the problem of inconsistent standards among different inspectors.

Multi-dimensional Consistency Assessment：

Evaluates consistency Within Appraiser, Between Appraisers, and vs Standard.

Kappa Statistics：

Auto-calculates Fleiss' Kappa value, quantifying the reliability of 'subjective judgment' with statistical language.

Miss & False Alarm Analysis：

Clearly lists Miss Rate and False Alarm Rate, helping identify inspectors needing retraining.