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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/six-sigma-analyze
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课程名称：六西格玛分析工具 课程概述：本课程将涵盖六西格玛DMAIC（定义、测量、分析、改进、控制）过程中的测量阶段和分析阶段的部分内容。您将学习用于过程分析的精益工具、故障模式与影响分析（FMEA）、测量系统分析（MSA）和量具重复性与再现性（GR&R），并且您将接触到基础统计学。课程将概述测量和分析阶段有用的工具，并提供与六西格玛过程相关的统计学概况。统计模块将为您提供概念的概述，并通过多个例题帮助您理解如何应用这些概念。每个模块都包括阅读材料、讨论、讲座视频和小测验，确保您理解所学的材料和概念。 我们的应用课程以最新版的《认证六西格玛手册》（第二版）为基础，学生将学习六西格玛的基本原则。注册后，学生可在线访问课程内容、项目和资源，但不包括配套教材《认证六西格玛手册》（第二版）。该教材虽非完成作业的必需品，但被业界专业人士广泛认可，也极力推荐给希望深入六西格玛并最终获得专业机构（如美国质量协会ASQ）认证的学员。 课程大纲： 1. **测量系统分析** - 介绍测量系统分析（MSA），这是DMAIC过程测量阶段的关键组成部分。同时学习量具重复性与再现性（GR&R）及其在测量阶段的用途。 2. **过程分析工具** - 进入DMAIC过程的分析阶段，帮助您更好地理解当前的流程及改进方式。介绍六西格玛专家常用的不同过程分析工具，包括故障模式与影响分析（FMEA），以帮助识别过程失败。 3. **根本原因分析** - 根本原因分析是常见的问题解决步骤，确定某一问题的根本原因是揭示问题成因的重要方面。将回顾不同的根本原因分析工具，包括5个为什么、流程图、力场分析和矩阵图。 4. **数据分析** - 深入六西格玛的统计部分，学习基本的分布类型，包括正态分布和二项分布，了解变异及常因与特因变异之间的区别。
Name:Measurement System Analysis
Description:Welcome to Six Sigma Tools for Analyze! This is the third course in the Six Sigma Yellow Belt Specialization. Your team of instructors, Dr. Bill Bailey, Dr. David Cook, Dr. Christine Scherrer, and Dr. Gregory Wiles, currently work in the College of Engineering and Engineering Technology at Kennesaw State University. This module will introduce you to Measurement System Analysis (MSA) which is a key component of the Measure phase of the DMAIC process. You will also learn about Gauge Repeatability & Reproducibility (GR&R) and why it is used in the measurement phase.
Name:Process Analysis Tools
Description:This module will introduce you to the Analysis phase of the DMAIC process. Process analysis helps you to better understand current processes and how they can be improved. You will be introduced to many of the different process analysis tools that are commonly used by Six Sigma experts. Failure Mode and Effects Analysis (FMEA) will also be introduced to help you better understand how to identify process failures.
Name:Root Cause Analysis
Description:Root cause analysis is a common problem solving step. Determining the root cause of something is an important aspect of uncovering the causes of a problem. In this module you will review the different tools used in determining root cause including 5-whys, process mapping, force-field analysis, and matrix charts.
Name:Data Analysis
Description:In this module you will be diving into the statistical side of Six Sigma. You will begin with learning about the basic distribution types which include normal and binomial. You will then proceed to variation and will learn the difference between common and special cause variation.
This course will cover the Measure phase and portions of the Analyze phase of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics. This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process. The statistics module will provide you with an overview of the concepts and you will be given multiple example problems to see how to apply these concepts. Every module will include readings, discussions, lecture videos, and quizzes to help make sure you understand the material and concepts that are studied. Our applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).
