Six Sigma Tools for Improve and Control

Welcome to Six Sigma Tools for Improve and Control! This is the fourth 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. The next two modules will conclude the Analyze phase of the DMAIC process and in the final two modules you will be introduced to the Improve and Control phase. This module will continue to discussion analysis by explaining correlation and regression. You will learn the meaning of correlation and regression, the different types of analysis, and how it can be used in Six Sigma.

This the final module that covers the Analysis phase of the DMAIC process. Now that you have collected the data and calculated it you will need to determine how to make a statistical conclusion about your findings. In this module you will learn more about the importance of hypothesis testing, how to correctly do a hypothesis test reading as well as how to avoid errors, and statistical significance.

This module will introduce you to the Improve and Control phase of the DMAIC process. The first step in this phase is determining improvement techniques to help make improvements to an organization. This module will cover the best and most popular improvement techniques including kaizen and kaizen blitz, PDCA (Plan-Do-Check-Act) cycle, and cost benefit analysis (including cost of quality).

The final phase of the DMAIC process is the control phase. In this module you will learn about control tools that are useful in maintaining improvements. Communication is a key component of the control phase therefore it is important to develop standardized documentation. You will learn about how to standardize and manage documentation to help maintain processes that were implemented during the improve phase of DMAIC.