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Technische Universität München (Technical University of Munich)

Six Sigma Part 2: Analyze, Improve, Control

Technische Universität München (Technical University of Munich) via edX

Overview

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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.

Syllabus

Week 1: ANALYZE - Root Cause Analysis
Introduction to methods for root cause analysis, including Cause and Effect (Fishbone diagrams) and Pareto Charts. We learn how to perform statistical correlations and regression analyses.

Week 2: ANALYZE - Inferential Statistics
Learn the inferential statistics techniques of confidence intervals and hypothesis testing in order to use sample data and draw conclusions about or process centering.

Week 3: IMPROVE - Design of Experiments
Plan designed experiments and calculate the main and interaction effects.

Week 4: MEASURE - Analysis of Variance
Review how to perform a one-way Analysis of Variance (ANOVA) for comparing the between-factor variation to the within-factor variation for a single factor experiment.
Use a two-way ANOVA for testing the significance of the factor effects for a 2x2 DOE.

Week 5: CONTROL - SPC and Control Charts
Implement Statistical Process Control (SPC) & Control Chart Theory for monitoring process data and distinguishing between common cause variation and assignable cause variation. Construct X-bar and R Charts by calculating the upper and lower control limits and the centerline.

Week 6: CONTROL - Other Control Charts
Understand other control charts, including p-and c-charts and I/MR, and EWMA Charts and review of the Control and Response Plan for Six Sigma projects.

Week 7: Quality Tools: FMEA, 8D, 5 Whys
Use several important tools used in quality management, including the 8 Disciplines (8D) and 5 Whys, and learn the concept behind Design for Six Sigma (DFSS).

Week 8: Six Sigma Scenario and Course Summary
Step through a full Six Sigma scenario, covering all phases of the DMAIC process improvement cycle.

Taught by

Martin Grunow and Holly Ott

Reviews

4.8 rating, based on 945 Class Central reviews

4.8 rating at edX based on 48 ratings

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  • TUMx teaching method and Holly’s approach are unique. Many statistical methods you once learned in academia will be illustrated with relevant examples of production optimization. Holly explains the material very thoroughly and clearly. I highly reco…
  • Emmanuel Basam
    I am called Emmanuel .V. Basam; serving with Heifer Project International (INGO) with headquarters in Littlerock, Arkansas, USA. HPI is an INGO serving smallholder farmers in the Agricultural space in Africa, Asia, Americas, and USA. We are deeply r…
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    Javier Suárez Mier
    One of the primary focuses of the course is the application of statistical methods to analyze process data. As student, you learn to identify patterns, determine root causes, and make data-driven decisions to improve process performance. The course…
  • Anonymous
    Marvin Clarke. Employed to the Alcoholic Beverage Industry under Campari Global. Analyse, Improve, Control is a very important program which will help you to think effectively within a production environment where challenges may arise spontaneously…
  • Anonymous
    Getting into this section of the lessons was so interesting to me as I work in a complaint handling department and being able to analyse the major and minor causes of device failure is always so vital to us. This helps us to be able to understand th…
  • Anonymous
    Esrol from South Africa working at Volkswagen (Vehicle Manufacturer) I recently completed a Six Sigma course, and I must say it was an incredibly enlightening and transformative experience. The course, offered by edX exceeded my expectations in ter…
  • Holly Ott is an excellent teacher and the teaching methodology of the videos are clear and priceless and they urge to deepen each topic. I am still studying the QPLS2x and the applicability of each of the tools in each of the phases is immense, for…
  • My name is Rony Tabari and I am from Indonesia, I am currently undertaking a role as an Operations Improvement Advisor for Phu Bia Mining (PBM) with operations in Laos as one of the producing assets for PanAust in South East Asia. Again, first of a…
  • I searched for months and read the descriptions (and even attended trailer demos) for many courses. But I haven't seen a course that is as organised and content-rich as this series from TUM ! I can't thank enough Dr. Holly Ott and the team for this…
  • Ariane Nsengimana
    I recently completed the second Lean Six Sigma training offered by Technische University Munich, and I must say, it was an excellent experience overall. Led by Professor Holly Ott, the sessions were not only enlightening but also exceptionally well-…
  • Anonymous
    Very good course that highlights the theoretical aspects of the Analyse, Improve, Control phases. I am looking forward to the next course.
  • My name is Sylvestre Dusabimana, from Rwanda, working with Rwanda Airports Company, in Airports Operations department. In this course, I've learnt about techniques for root cause analysis and quality methods to manage process deviations, design of…
  • Anonymous
    Six Sigma Part 2 typically builds on the knowledge and skills acquired in Part 1, focusing on the practical application of tools and techniques for process improvement and problem-solving. Key Takeaways from Six Sigma Part 2: Mastery of advanced t…
  • Anonymous
    It was really a great journey learning with TUM on Six Sigma Course. I really recommend anyone who is interested to understand more on quality management to join this course, either free or verified track. Personally, I took this course to refresh m…
  • This course has boost my problem solving skills. i have got a better understanding of how to do hypothesis and use the 8D methodology is in solving problems at my workplace.
  • Anonymous
    I am thoroughly impressed with the Six Sigma course. The content is both comprehensive and well-structured, providing a deep dive into the principles and methodologies of Six Sigma. The course materials are clear and engaging, making complex concept…
  • Anonymous
    With every industry pursuing Lean practices in their manufacturing processes, knowledge of lean and Six Sigma becomes imperative if you want to pursue career in such an industry!! I was initially doubtful of starting this online course (as I am not…
  • Anonymous
    course with a flexible structure that can accommodate a variety of schedules. The combination of video lectures, case studies, and exercises make for an engaging learning experience that effectively conveys the principles of Six Sigma methodology. A…
  • Anonymous
    My name is Marta and I am an experienced project manager (10+ years of experience) in the development of medical devices domain. First of all, I would like to express my gratitude to Holly Ott, who delivered the Six Sigma Analyze, Improve and Contro…
  • Akshay Verma
    Control phases of Six Sigma. The instructors Holly and Guest Lecturers did a great job breaking down complex concepts into easy-to-understand modules, supported by practical examples. I particularly appreciated the real-world applications and exercises that helped solidify the theoretical knowledge. Overall, it's a well-structured course that I would recommend to anyone looking to deepen their understanding of Six Sigma methodologies. Of all things, three important concepts which I learned, are DMAIC to improve processes and avoid problems, the Eight Disciplines (8D) method and most importantly 5Why's. - Akshay Verma (Sheffield), University of Sheffield.

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