Understand the background and meaning of Six Sigma and the five steps of the DMAIC process improvement flow: Define, Measure, Analyse, Improve and Control. Discuss what “Quality” means and how to identify the Voice of the Customer.
You will learn how to set an improvement project goal, calculate process yield, and identify Critical to Quality parameters.
You will learn how to map a process and to use the necessary statistical techniques to establish the baseline performance of a process and to calculate the process capability.
To complement the lectures, we provide interactive exercises, which allow learners to see the statistics “in action.” Learners then master the 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 Yellow Belt level. The material is based on the American Society of 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.
Introduction to the Six Sigma Methodology and the DMAIC process improvement cycle. Understand the contributors to the cost of quality. Discuss the difference between defects and defectives in a process and how to calculate process yield, including comparison of processes of different complexity using the metric DPMO.Week 2: DEFINE – Defining the Problem
Discuss how to understand customer expectations, using the Kano Model to categorize quality characteristics. Start the first and difficult task of a Six Sigma project, Defining the Problem, and review the key content in a Project Charter.Week 3: MEASURE – Statistics Review
Review of random variables and probability distributions used commonly in quality engineering, such as Binomial, Poisson and Exponential. Cover descriptive statistics, emphasizing the importance of clearly communicating our results of our project.Week 4: MEASURE – Normal Distribution
Learn the characteristics of the Normal Distribution and how to use the Standard Normal to calculate probabilities related to normally distributed variables. Cover the Central Limit Theorem, and how it relates to sampling theory.Week 5: MEASURE – Process Mapping
Introduce Process Mapping, including SIPOC and Value Stream Mapping. We identify the Critical-to-Quality characteristic for a Six Sigma projectWeek 6: MEASURE – Measurement System Analysis
Learn the basics of Measurement Theory and Sampling Plans, including
Precision, Accuracy, Linearity, Bias, Stability, Gage Repeatability & Reproducibility
Week 7: MEASURE – Process Capability
Introduction to Process Capability and the metrics CP/CPK for establishing our baseline process performance.
Week 8: Quality Topics and Course Summary
Cover the basics of Tolerance Design and the risk assessemnt tool Failure Mode and Effects Analysis (FMEA).
Review the complete Six Sigma Roadmap before summarizing and closing the course.
Professor of Production and Supply Chain Management
Technische Universität München
Senior Lecturer in Operations Management
Technische Universität München
Technische Universität München (TUM) ranks as one of Europe’s leading universities. It placed first among German universities in the International Shanghai Ranking, in both 2011 and 2012, and is one of the few to hold the title of Excellence University. Our researchers are committed to finding solutions to the major challenges facing society: health & nutrition, energy & natural resources, environment & climate, information & communication, mobility & infrastructure. TUM is based in Munich, amid the strongest science and industry network in continental Europe. Our university thinks entrepreneurially and acts globally. It was the first German university to open an international campus abroad: TUM Asia in Singapore. Today, TUM has more than 41,000 students, 35% of them women and 29% coming from abroad, and 566 professors.