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所在平台: Udemy |
课程主页: https://www.udemy.com/course/tabtrainer-minitab-msa-gage-rr-study-nested/
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课程名称：破坏性测试的嵌套 Gage R & R - Tabtrainer 指南 课程概述： 欢迎来到 Tabtrainer® 大师班系列，这是您获得高级质量工程和测量系统专业知识的可靠来源。在本课程中，您将掌握嵌套 Gage R & R 研究，适用于每个部件只能测量一次的破坏性测试环境。课程基于来自 Smartboard 公司的实际案例，提供动手培训，引导您完成嵌套研究的整个生命周期——从设计和数据收集到符合 AIAG 标准的分析和过程改进。由 TÜV 认证讲师、Tabtrainer® 创始人 Murat Mola 教授主讲，本课程不仅为您提供理论背景，还提供实际工具，以便在交叉设计不可行的情况下评估和优化测量系统。 课程描述： 这门高级培训课程提供嵌套 Gage R & R 研究的逐步动手介绍，特别针对每个部件只能测量一次的破坏性测试环境。利用来自 Smartboard 公司的实际商业案例，参与者将被引导完成从研究设计到系统有效性最终评估的完整分析周期。在多个模块中，学习者将探索如何设计统计上合理的测量系统分析，当交叉设计不可用时，该如何验证系统并符合 AIAG 标准。课程结合了统计理论、Minitab 中的软件执行和输出结果的实际解读，包括 p 值、方差成分、不同类别数量和视觉控制图。参与者将学习如何检测测量系统的弱点，尤其是与再现性相关的问题，并通过操作员培训、过程能力分析和抽样策略改进来实施纠正措施。课程最后进行完整的前后对比研究，以确认所采取措施的成功。 学习成果： - 了解何时以及为何应用嵌套 Gage R & R 设计 - 应对无法重新测试的破坏性测试场景 - 理解同质生产批次和正确抽样的重要性（40-4 规则） - 在 Minitab 中逐步设置和执行嵌套研究 - 解读控制图（R 图，Xbar 图）和散点图 - 应用 AIAG 接受标准，使用方差、标准差和 ndc - 检测和减少操作员偏差和机械影响 - 使用前后比较验证测量系统的改善 - 理解测量分辨率与过程优化能力的关系 - 构建适合工业环境的稳健且准备接受审核的 Gage R & R 研究 通过完成本课程，参与者将能够设计、执行、解读并优化符合国际质量标准的嵌套 Gage R & R 研究，支持长期的过程优化。
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.
