Six Sigma: Analyze, Improve, Control
Develop expertise in Six Sigma methodology through statistical analysis, process control, and quality improvement techniques in this TUM program.
Develop expertise in Six Sigma methodology through statistical analysis, process control, and quality improvement techniques in this TUM program.
Building on foundational Six Sigma concepts, this comprehensive course dives deep into statistical analysis and process improvement methodologies. Students learn advanced techniques for data analysis using inferential statistics, hypothesis testing, and confidence intervals. The course covers essential tools like correlation analysis, regression techniques, and designed experiments for process optimization. Participants master quality management tools including 8D and 5 Whys, while gaining practical experience through interactive exercises and case studies. The program culminates in a TUM Lean and Six Sigma Yellow Belt certification, aligned with ASQ Green Belt standards.
4.7
(46 ratings)
40,469 already enrolled
Instructors:
Holly Ott
English
English
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What you'll learn
Apply inferential statistical techniques to analyze process data and determine root causes
Implement quality management tools including 8D and 5 Whys methodologies
Design and analyze experiments to test improvement options
Create and interpret control charts for process monitoring
Perform correlation and regression analyses for process improvement
Execute Analysis of Variance (ANOVA) for factor significance testing
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
The course provides comprehensive training in advanced Six Sigma methodologies, focusing on the Analyze, Improve, and Control phases. Students learn statistical techniques for data analysis, including inferential statistics, hypothesis testing, and confidence intervals. The curriculum covers root cause analysis, designed experiments, statistical process control, and quality management tools. Through interactive exercises and case studies, participants gain practical experience in applying these concepts to real-world process improvement scenarios. The course aligns with ASQ Green Belt standards and culminates in a TUM Lean Six Sigma Yellow Belt certification.
Fee Structure
Instructors
17 Courses
Distinguished Supply Chain Management Scholar at Technical University of Munich
Dr. Martin Grunow is a Professor of Production and Supply Chain Management at Technische Universität München and an adjunct professor at Technical University Denmark. With previous experience at Technical University Berlin and in R&D at Degussa, he has established himself as a leading expert in production and logistics management, focusing on process, electronics, and automotive industries. His academic contributions include over 100 publications in prestigious journals such as the International Journal of Production Economics and European Journal of Operational Research. He serves as an editor for Flexible Services and Manufacturing Journal and OR Spectrum, and has organized more than 30 international conferences. As an associate member of The International Academy of Production Engineering, his research has significantly impacted supply chain optimization, particularly in areas such as perishable food products, automated transport systems, and pharmaceutical supply chains
Holly Ott
16 Courses
Professor Production Management Rosenheim
Dr. Holly Ott is a Professor of Production Management and IT Systems at Rosenheim Technical University of Applied Sciences and Senior Lecturer at Technical University of Munich, with additional adjunct professorships at Singapore Management University, IE Business School Madrid, and Syracuse University. With a Ph.D. in Electrical Engineering from the University of Virginia, she brings 12 years of industry experience from roles at Siemens, Motorola, IBM, and Infineon across the USA, Europe, and Asia. Her expertise spans device simulation, quality management, and supply chain optimization. Dr. Ott has received numerous teaching awards, including the 2022 Rosenheimer Lehrpreis and the 2015 TUM Teaching Innovation Award. She holds an IASSC Certified Lean Six Sigma Green Belt, serves as program chair for the Singapore Semiconductor Industry Association's Supply Chain Forum, and directs the TUM Case Centre. Her current research focuses on digitalization in the wood industry and sustainable supply chain management.
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4.7 course rating
46 ratings
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