Overview

Welcome to this expert-level course from the Tabtrainer® Series - your professional platform for certified, data-driven quality training.In this training unit, you will master how to perform a Gage R & R study using continuous data and a crossed design in Minitab, guided by AIAG-compliant methods. Based on a real industrial case from the Smartboard Company, you'll work with a full measurement dataset to evaluate repeatability, reproducibility, and overall system capability.You'll apply both the Average & Range Method (ARM) and the ANOVA method to interpret GRR%, ndc, and operator effects with precision. From the basics of structured data collection to deep statistical insights, this course enables you to confidently judge whether your measurement system is valid, stable, and suitable for use in production optimization.Taught by Prof. Dr. Murat Mola, TÜV-certified Six Sigma expert, awarded Professor of the Year 2023 in Germany, and founder of Tabtrainer®, this course ensures a unique blend of academic excellence and industrial relevance - tailored for quality engineers, analysts, and practitioners seeking real-world competence.Part 1 - Introduction and Data CollectionFocus: Study setup and measurement planThe study uses 10 ball bearings, 3 operators (Czubak, Gruska, Stahley), and 2 measurement repetitions per part and operator.The measurement design is "crossed," meaning each operator measures each part.Data structure: 60 total values, arranged in four columns: Run Order, Ball Bearing, Operator, Diameter (mm).Objective: Ensure completeness and consistency of the data set before beginning the analysis.Key Insight: A well-prepared and structured data set is essential for valid analysis.Part 2 - Gage R & R Using the Average & Range Method (ARM)Focus: Practical evaluation based on industry-standard tablesThe ARM approach calculates repeatability and reproducibility from the averages and ranges of measurement data.Tolerance limits and process variation are taken into account.Calculation of the number of distinct categories (ndc) helps determine measurement resolution.Classification of the system is based on AIAG guidelines:GR & R < 10%: AcceptableGR & R 10-30%: Marginally acceptableGR & R > 30%: UnacceptableResult:GR & R value: 8.36% (acceptable)ndc value: 16 (high resolution)Part 3 - Gage R & R Using the ANOVA MethodFocus: Statistical depth and interaction analysisThe same data set is now analyzed using a two-way analysis of variance (ANOVA).All variation components are quantified: part-to-part, operator, operator × part interaction, and repeatability.The F-distribution is used to test statistical significance of each variation source.p-values are interpreted in relation to a 0.05 significance level.Results:Part-to-part variation: Statistically significant (p < 0.05)Operator variation: Not significant (p = 0.241)Interaction effect: Not significant (p = 0.227)Final GR & R value: 8.36%ndc value: 16

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