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所在平台: Udemy |
课程主页: https://www.udemy.com/course/tabtrainer-minitab-control-charts-for-continuous-data/
课程评论：没有评论
**课程名称：** MinitabSPC与控制图 - Tabtrainer认证（SPC with Control Charts in Minitab - Tabtrainer Certified） **课程概述：** 本课程是Tabtrainer®认证系列的一部分，旨在提供基于科学的工业质量方法和数据分析的专业培训。课程将带领学员精通使用Minitab进行统计过程控制（SPC），涵盖从基础理论到Xbar、R、S、I和MR等控制图的专家级应用。 课程以滑板轴压铸的真实世界场景为例，深入剖析过程行为、控制限逻辑以及符合AIAG标准的异常解读。课程由TÜV认证的六西格玛专家、Tabtrainer创始人Prof. Dr. Murat Mola教授主讲，将理论严谨性与真实的工业数据相结合，帮助学员自信地做出统计有效的过程决策。 **课程特色：** * **全面的SPC培训：** 提供完全认证、基于科学的SPC培训，掌握所有相关的控制图方法，从基础理论到高级工业应用。 * **国际标准对标：** 课程内容符合AIAG和ISO等国际标准。 * **真实案例教学：** 以滑板轴压铸这一现实的制造场景为基础。 * **实操与理论结合：** * 学习Xbar、S、R、I和M-R等控制图的实际运用，并深入理解其统计逻辑。 * 从描述性统计入手，学习如何表征过程数据。 * 详细讲解使用实际和目标过程参数计算控制限的方法。 * 应用八项标准AIAG控制图检测方法，识别潜在过程不稳定的隐藏模式、趋势和异常。 * 通过对为期七天生产周期的真实测量数据进行分步分析，展示如何评估子组内外的过程行为。 * 学习如何拆分数据集以进行特定机器评估，以及评估技术优化措施的效果。 * 介绍从分组数据到个体观测的过渡，即使在抽样受限时也能评估生产过程。 * **决策能力提升：** 赋能学员做出统计上合理的决策，避免代价高昂的误读，为未来的过程能力分析奠定稳定基础。 **目标学员：** 质量工程师、六西格玛从业者以及希望通过应用学习将SPC知识提升到专家级水平的过程分析师。
Welcome to the Tabtrainer® Certified Series - your professional standard for science-based training in industrial quality methods and data analysis.In this course, you will master Statistical Process Control (SPC) using Minitab, from foundational theory to expert-level application of control charts such as Xbar, R, S, I, and MR. Based on a real-world scenario from the die casting of skateboard axles, this training gives you hands-on insight into process behavior, control limit logic, and AIAG-compliant interpretation of anomalies.Led by Prof. Dr. Murat Mola, TÜV-certified Six Sigma expert and founder of Tabtrainer®, the course combines theoretical precision with real industrial data to help you make confident, statistically valid process decisions.This course offers:a fully certified, science-based training in Statistical Process Control (SPC) with Minitab, enabling professionals to master all relevant control chart methods from foundational theory to advanced industrial application-aligned with international standards such as AIAG and ISO, based on a realistic manufacturing scenario: the die casting of skateboard axles. Participants will not only learn the practical use of control charts such as Xbar, S, R, I, and M-R, but also gain a deeper understanding of the statistical logic behind them. The training begins with an exploration of descriptive statistics to characterize process data, followed by a detailed explanation of how control limits are calculated using real and target process parameters. Participants will apply the eight standard AIAG control tests to identify hidden patterns, trends, and anomalies that indicate potential process instabilities.Through a step-by-step analysis of real measurement data collected over a seven-day production period, the course demonstrates how to evaluate process behavior both within and between subgroups, how to split data sets for machine-specific evaluation, and how to assess the effects of technical optimization measures. The transition from grouped data to individual observations is also addressed, enabling participants to evaluate production processes even when sampling is limited.This training empowers professionals to make statistically sound decisions, avoid costly misinterpretations, and establish a stable basis for future capability analyses. Ideal for quality engineers, Six Sigma practitioners, and process analysts who wish to elevate their SPC knowledge to an expert level through applied learning.
