Six Sigma Tools for Analyze

Go to Course: https://www.coursera.org/learn/six-sigma-analyze

Introduction

### Course Review: Six Sigma Tools for Analyze (Coursera) **Overview:** The course "Six Sigma Tools for Analyze" is an essential component of the Six Sigma Yellow Belt Specialization offered on Coursera. Conducted by esteemed instructors from Kennesaw State University's College of Engineering and Engineering Technology, this course guides students through the Measure and Analyze phases of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) process. It provides a comprehensive foundation in various Six Sigma methodologies, focusing on lean tools for process analysis, measurement system analysis (MSA), gauge repeatability and reproducibility (GR&R), and basic statistics. ### Key Features and Syllabus Breakdown: **1. Measurement System Analysis (MSA)** The course kicks off with a module dedicated to Measurement System Analysis, emphasizing its pivotal role in the Measure phase of DMAIC. The introduction of GR&R in this segment is particularly beneficial for learners who wish to understand the significance of measurement errors and variances in a business context. With clear explanations and practical examples, learners can effectively grasp how MSA affects overall process quality. **2. Process Analysis Tools** Moving into the Analyze phase, the course covers key process analysis tools that are vital for understanding current operations. This module not only introduces tools like Failure Mode and Effects Analysis (FMEA) but also equips students with the skills to identify potential failures within processes. The insights provided in this module are invaluable for professionals looking to enhance their analytical capabilities and drive process improvements. **3. Root Cause Analysis** One of the most critical aspects of problem-solving in any organization is determining the root cause of issues. In this module, various root cause analysis tools, such as the 5-whys, process mapping, force-field analysis, and matrix charts are discussed in detail. These tools are essential for systematic problem-solving, paving the way for effective solutions in real-world scenarios. **4. Data Analysis** The statistical component forms the backbone of Six Sigma's analytical approach. The Data Analysis module delves into understanding basic distribution types such as normal and binomial distributions, alongside the critical distinctions between common and special cause variations. This knowledge is crucial for anyone looking to employ data effectively in decision-making processes. ### Course Delivery and Experience: The instructors, Dr. Bill Bailey, Dr. David Cook, Dr. Christine Scherrer, and Dr. Gregory Wiles, bring a wealth of academic and practical experience to the course, ensuring that learners receive high-quality instruction. The course is designed to be accessible for individuals from various backgrounds and does not require prior expertise in Six Sigma. Engaging video lectures, detailed notes, and interactive quizzes enhance the learning experience, aiding students in retaining complex concepts. ### Who Should Enroll: "Six Sigma Tools for Analyze" is highly recommended for professionals and students seeking to enhance their analytical skills within process improvement frameworks. It’s particularly beneficial for those in roles related to quality control, operations management, and project management. Whether you’re a novice looking to understand Six Sigma principles or an experienced professional aiming to refine your skills, this course offers valuable insights and hands-on knowledge. ### Final Recommendation: If you're looking to advance your career in an industry that prioritizes quality and efficiency, enrolling in "Six Sigma Tools for Analyze" on Coursera is an excellent choice. The knowledge gained from this course will not only bolster your resume but also empower you to contribute effectively to organizational improvements and project success. The skills learned here will equip you with a systematic approach to problem-solving and data-driven decision-making, both of which are critical in today's competitive landscape. Highly recommended!

Syllabus

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.

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 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.

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.