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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

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 925 Class Central reviews

4.8 rating at edX based on 23 ratings

Start your review of Six Sigma Part 2: Analyze, Improve, Control

  • 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…
  • 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…
  • 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…
  • 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…
  • 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…
  • SHIVAKUMAR HB
    hello every one My name is Shivakumar HB from India working as Industrial engineer in an aerospace component manufacturing company.
    This is one the ultimate course which i have to for beginners to understand basic principles of how to define a project problem and how to solve the problem with the help of the statistics and Analytics.
    I have learned in this course
    1. customer expectation
    2. Root cause analysis
    3. DOE, SPC etc

    Special thanks to Prof. Holly Claudia Ott for providing this wonderful learning opportunity.
  • 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…
  • 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…
  • 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
    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…
  • Hello, my name is Christian Salinas, I am an industrial engineering student and I am from El Salvador. The teachers perfectly supported the course showing a deep and advanced knowledge in the area, they have done a great job, the course seemed very complete and with very good examples. It helped me develop a skill set to analyze, improve, and control, and it increased my understanding of scope in real-world applications.

    There are many things to learn in this course that take time to handle well, but with the help of this course you can lay the foundation to start developing in this area.
  • Anonymous
    Hi, My name is Tanti Gantina and I am from Indonesia. I have a Master in Geotechnical Civil Engineering with several years and projects of experiences. I decided to join this 2nd course last 2 weeks and now I am getting excited to learn more about…
  • This course has a very balanced approach of theory and practical examples and practice session. Provides good understanding of the concepts.
  • 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
    The Six Sigma: Analyze, Improve, Control course was an invaluable learning experience for me. The comprehensive curriculum provided a deep understanding of the Six Sigma methodology and its practical applications. The instructors were knowledgeable…
  • 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…
  • Fredrick E., Netherlands, R&D NPI Project Integration Manager.

    Takeaways

    - Main knowledge of DMAIC - especially AIC part

    - Combination of statistics and real life problems

    - Understand areas of applications

    I will definitely use the learnings in my current job/role with tackling risks related to project management (using 8D) and also in personal situations

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