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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 936 Class Central reviews

4.7 rating at edX based on 46 ratings

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

  • 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…
  • 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…
  • 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
    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…
  • 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…
  • 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…
  • Anonymous
    This course presented the various Six Sigma techniques in a very detailed and comprehensive way. It is informative and easy to understand. You come out of the course with a good level of knowledge about the different methods and tools. Highly recommend
  • Profile image for Gary Kehler
    Gary Kehler
    Was a well presented course, a bit daunting at times with data sets being in Jpeg format, would be nice to be able to take data into excel and manipulate rather than doing it by hand. But all in all i enjoyed it!
  • Anonymous
    The course is amazing, special thank to Holly!!

    specific things i learned :

    - What is DMAIC and how to use it to imporve process and avoid problems

    - 8D method and root causes

    - Understand areas of application
  • Anonymous
    This course is very beneficial for those who want to be knowledgeable in six sigma basics.
    I liked the cases and the projects that were demonstrated across the cycle of the six sigma process.
  • Anonymous
    Great self- paced course with in-depth knowledge, practical examples and great guest speakers. I would recommend it to anyone who wants to further their education in lean and six-sigma
  • Anonymous
    I rate this course with 5 starts.

    It is practice orientated, well structured and easy to follow.

    Various examples bring the content to life.
  • Anonymous
    I am really glad that I took this course. This is an elaborate and gave deep insights about analyse, improve and control steps in six sigma.
  • Anonymous
    Course has a good material and lots of goods examples to make sure you can translate theory to practice.
  • This course has a very balanced approach of theory and practical examples and practice session. Provides good understanding of the concepts.
  • Anonymous
    In general, I found this course intersting and the material was relatively easy to follow. It continued building nicely on the knowledge from the first part of the course (Define & Measure) and the case studies were great help in applying the learned concepts into practice. One minor critique from me will be that the guest lectures can be quite boring since the lecturer is just reading the topic from his notes and have a very monotonous tone of voice. The material is already quite definition heavy and dry so it does not help when it is also presented in a fashion that is making more difficult to follow. Overall I can recommend the course to any Six Sigma aspiring professional.

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