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.
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귀하가 습득할 기술
- Statistics
- Binomial Distribution
- Data Analysis
- Causality
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The University System of Georgia is composed of 28 higher education institutions including 4 research universities, 2 regional universities, 12 state universities, 13 state colleges and the Skidaway Institute of Oceanography. The Georgia Public Library System, encompassing 61 library systems throughout Georgia, is also part of the University System.
강의 계획표 - 이 강좌에서 배울 내용
Measurement System Analysis
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.
Process Analysis Tools
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.
Root Cause Analysis
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.
Data Analysis
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.
검토
- 5 stars78.01%
- 4 stars18.14%
- 3 stars3%
- 2 stars0.57%
- 1 star0.25%
SIX SIGMA TOOLS FOR ANALYZE의 최상위 리뷰
I enjoy the clear presentations of the lecturers. The lecture slides are extremely helpful. The lectures compliment very well the ideas mentioned in the textbook.
I am always afraid of the normal distribution. But in the professor's way in this course made me easily understand about it.
Got to learn new more things. As a suggestion, project work or peer-graded assignments can be included for more practice and understanding of charts and distributions.
The math isn't overly complicated and the instructors show how to solve problems both by hand and through EXCEL which is extremely helpful.
Six Sigma Yellow Belt 특화 과정 정보
This specialization is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes, performance, and quality assurance.

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