TUMx: Six Sigma Part 2: Analyze, Improve, Control
Learn how to statistically analyze process data to determine the root cause and propose solutions for process problems, to implement quality management tools, such as 8D and the 5 Whys, and to understand the concept of Design for Six Sigma (DFSS).
Learning Journey Context
This course serves as an entry point into Business & Management, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Relevant for professionals pursuing roles within Business & Management.
Quick Facts
What You’ll Learn
Building on the concepts from the first course in the Six Sigma Program, Define and Measure, in this course, you will learn how to statistically analyze data with the Six Sigma methodology using inferential statistical techniques to determine confidence intervals and to test hypotheses based on sample data. You will also review cause and effect techniques for root cause analysis.
You will learn how to perform correlation and regression analyses in order to confirm the root cause and understand how to improve your process and plan designed experiments.
You will learn how to implement statistical process control using control charts and quality management tools, including the 8 Disciplines and the 5 Whys to reduce risk and manage process deviations.
To complement the lectures, learners are provided with interactive exercises, which allow learners to see the statistics "in action." Learners then master statistical concepts by completing practice problems. These are then reinforced using interactive case studies, which illustrate the application of the statistics in quality improvement situations.
Upon successful completion of this program, learners will earn the TUM Lean and Six Sigma Yellow Belt certification, confirming mastery of Lean Six Sigma fundamentals to a Green Belt level. The material is based on the American Society for Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.
Outcomes
- To identify process problems and perform a root cause analysis using cause and effect diagrams and regression analysis..
- To analyze data using inferential statistical techniques, including confidence intervals and hypothesis testing..
- To test and quantitatively assess the impact of different improvement options using the design of an experiment..
- To test for the significance of effects using an Analysis of Variance..
- To implement control mechanisms for long-term monitoring using control charts for both quantitative and qualitative measurements..
- To apply the Six Sigma methodology for the Analyze, Improve and Control phases in your work or research..
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