|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-statistical-quality-control-with-minitab/
课程评论：没有评论
课程名称：掌握使用Minitab的统计质量控制 课程概述： 本课程旨在让学员学习统计质量控制的概念和程序，这些方法广泛应用于商业、工程和制造等领域，尤其是在决策过程需要依赖数据与事实而非直觉时。课程涵盖了统计质量控制的核心章节，帮助学员理解并应用复杂的统计方法于实践中。 主要内容包括： - 影响产品或服务关键指标的因素分析，使用方差分析法（ANOVA）。 - 完全随机设计、随机区组设计及带随机因子完全随机设计。 - 单因素及双因素实验布局、平衡多因素设计中的模型构建。 - 熟悉统计过程控制（SPC）的概念及控制图的正确使用，包括变量控制图和属性控制图。 - 过程的稳定性与能力分析，介绍不同类型的控制图如Shewhart图、累计和图（CUSUM）、指数加权移动平均图（EWMA）和移动平均图（MA）。 - 学习如何量化过程的实际和潜在能力，以满足客户需求。 - 产品特征化与过程能力分析，包括整体能力与潜在能力、非正态数据的能力分析。 - 检查测量系统的能力以确保所需的精度，包括测量系统分析和使用Minitab的Gage R&R工具。 该课程包括35个视频讲座，总时长5小时，内容结构合理、简洁而全面，让学员在Minitab驱动的分析中获得计算机技能、理论背景以及对输出结果的解释能力。视频中采用了直观的屏幕动画，结合清晰的讲解，使得复杂的统计质量控制概念变得易于理解。学员可以边观看视频边在Minitab中实践，相互结合的学习方式有助于提高解决统计问题的能力。 本课程内容全面适合希望深入了解统计质量控制的学员，重点在于理论与实践的结合，帮助学员在数据处理中获得更丰富的经验。
Start to learn the concepts and procedures of Statistical Quality Control, which are intensively used in business, engineering, manufacturing and in many places when decision making processes are driven by data and facts rather just by intuitive feelings. The course covers the core chapters of Statistical Quality Control and it helps understanding and applying the most complex and sophisticated statistical methods in practice. Learn how to decide which factors influence the key indicators of your product or service using the Analysis of Variance Method (ANOVA).Completely Randomized Design.Randomized Block Design.Completely Randomized Design with Random Factor.One-way and Two-way Experimental Layout.Model Building in Multifactor Balanced Design.Get familiar with the concept of Statistical Process Control (SPC) and the proper use of Control Charts.Stability and Capability of a process.Control Charts for Variables.Control Charts for Attributes.Application of Control Charts in Phase I and Phase II.Shewhart Charts.Cumulative Sum (CUSUM) Charts.Exponentially Weighted Moving Average (EWMA) Charts.Moving Average (MA) Charts.Normal and Non-normal data.Fast Initial Response Method.Learn how to quantify the actual and potential capability of your process to satisfy the needs of your costumer.Product Characterization.Process Capability Analysis.Overall and Potential Capability.Capability Analysis with Non-normal Data.Learn the way of checking the capability of your measurement system to ensure the required precision.Gauge and Measure System Analysis.The Analysis of Variance Method with Balanced ANOVA.Minitab Gage R & R Tools.This course is comprehensive and covers the core chapters of Statistical Quality Control.35 video lectures.5 hours.Enjoy the benefit of the well-structured, short and yet comprehensive video lectures.In these lectures all things happen inside a Minitab driven analysis. All in one place, within the same video lesson, gaining computer skills, getting theoretical background, and mainly getting the ability to interpret the outputs properly. These lessons are specially prepared with intensive screen animations, concise and yet comprehensive, well-structured explanations. If you like you can turn on subtitles to support the comprehension.The verification of the assumptions for a test, the basic theoretical background or even the formulas applied in a procedure appear in these video tutorials at the right instances of the analysis. The outputs are explained in a detailed manner in such an order that enables you to make the appropriate conclusions.In these video lectures Minitab is used not only to solve problems but to explore and demonstrate different concepts of Statistical Quality Control to make you easily familiar with rather complex concepts of the field.Learn in a way when you watch the video and do the same simultaneously in your own Minitab.Watching a video, pausing it and doing the same steps simultaneously in your own Minitab is the best way of getting experience and practice in data manipulation. Repeating the sessions with different sample data develops your skill to solve statistical problems with a software.
