Nested Gage R&R for Destructive Testing - Tabtrainer® Guide
Last updated 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 53m | Size: 352 MB
Last updated 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 53m | Size: 352 MB
Master nested Gage R&R in Minitab for destructive tests - meet AIAG standards and improve reproducibility with real data
What you'll learn
Understand nested Gage R&R studies and know when to apply them in destructive testing environments for accurate and reliable measurement evaluation.
Design and conduct valid nested Gage R&R studies with structured sampling plans based on AIAG standards and the 40-4 rule for batch testing.
Perform complete nested Gage R&R analyses in Minitab and interpret statistical outputs including p-values, variance components, and nested GR&R values.
Distinguish between repeatability and reproducibility and identify the dominant source of variation in a nested measurement system.
Evaluate measurement systems using AIAG acceptance criteria based on variance, standard deviation, and number of distinct categories (ndc).
Use R charts, Xbar charts, and boxplots to visualize operator influence and detect systematic variation or inconsistencies in test results.
Interpret scatterplots grouped by sample positions to detect intra-batch inconsistencies and evaluate the homogeneity of mechanical properties.
Apply statistical logic to reject or retain hypotheses about operator and batch influence using defined significance levels (e.g. p Welcome to the Tabtrainer® Masterclass Series - your trusted source for advanced quality engineering and measurement system expertise.In this course, you will master Nested Gage R&R Studies using Minitab, designed specifically for destructive testing environments where each part can be measured only once. Based on a real-world case from the Smartboard Company, this hands-on training guides you through the entire lifecycle of a nested study - from design and data collection to AIAG-compliant analysis and process improvement.Led by Prof. Dr. Murat Mola, TÜV-certified instructor and founder of Tabtrainer®, this course equips you with both the theoretical background and the practical tools to evaluate and optimize measurement systems when crossed designs are not feasible.Course DescriptionThis advanced training course provides a step-by-step, hands-on introduction to nested Gage R&R studies, specifically tailored for destructive testing environments where each part can only be measured once. Using a practical business case from the Smartboard Company, participants are guided through the full analysis cycle-from study design to final evaluation of system validity.Across multiple modules, learners will explore how to design a statistically sound measurement system analysis when crossed designs are not applicable, and how to validate the system using AIAG standards.The course combines statistical theory, software-based execution in Minitab, and real-world interpretation of outputs including p-values, variance components, number of distinct categories, and visual control charts.Participants will learn how to detect measurement system weaknesses, especially those related to reproducibility, and implement corrective actions through operator training, process capability analysis, and sampling strategy improvements. A complete before-and-after study comparison concludes the course and confirms the success of the applied measures.By the end of this course, participants will be able to design, execute, interpret, and optimize nested Gage R&R studies that meet international quality standards and support long-term process optimization.What You Will Learn:When and why to apply a nested Gage R&R design.How to handle destructive testing scenarios where part retesting is not possible.The importance of homogeneous production batches and correct sampling (40-4 rule).Step-by-step setup and execution of a nested study in Minitab.How to interpret control charts (R chart, Xbar chart) and scatterplots.How to apply AIAG acceptance criteria using variance, standard deviation, and ndc.How to detect and reduce operator bias and machine influence.How to validate measurement system improvements using before-and-after comparison.The link between measurement resolution and process optimization capability.How to build a robust and audit-ready Gage R&R study for industrial environments.
Who this course is for
Quality Assurance Professionals: Those responsible for monitoring production processes and ensuring product quality will gain practical tools for defect analysis.
Production Managers: Managers overseeing manufacturing operations will benefit from learning how to identify and address quality issues effectively.
Six Sigma Practitioners: Professionals looking to enhance their expertise in statistical tools for process optimization and decision-making.
Engineers and Analysts: Individuals in manufacturing or technical roles seeking to apply statistical methods to real-world challenges in production.
Business Decision-Makers: Executives and leaders aiming to balance quality, cost, and efficiency in production through data-driven insights and strategies.
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