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edX

Six Sigma: Analyze, Improve, Control

Technische Universität München (Technical University of Munich) via edX

Overview

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

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Reviews

4.8 rating, based on 688 reviews

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

  • Emmanuel Basam
    3
    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 rooted...
  • 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 example...
  • 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 without...
  • 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 course,...
  • Rony Tabari completed this course, spending 15 hours a week on it and found the course difficulty to be medium.

    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 all,...
  • 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 Lean...
  • 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.
  • 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
  • Anonymous
    Name: Paul Duggleby Location: England Type of work organisation: Healthcare Completed course February 2021 Overall impression: I found the course to be very informative, enjoyable to undertake but a good challenge as well. For me the statistical...
  • 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
    I am Renante P. Guda, working in one company that specializes in Industrial Automation here in Kingdom of Saudi Arabia. For the course Six Sigma : Analyze, Improve and Control, first and foremost-this is a requirement to complete Six Sigma DMAIC Training....
  • Anonymous
    I understood how to find and demonstrate relationships between the different parameters of the process and how they could improve the results.

    I learned how to choose from the different probabilistic tests to apply which one is correct according to the data I have.

    I learned the importance of implementing control chart and how to do it to be able to follow the processes and keep them in control or act accordingly.

    I believe that I will be able to apply everything I have learned in my work area, because I work in the continuous improvement of the processes with which I apply 100% of what I have learned.
  • Profile image for Andrea Sayago
    Andrea Sayago
    3
    Hi, I'm Andrea Sayago, a pharmaceutical engineer working at a pharmaceutical company (American), so this course was so important to me because it gave so many tools from statistics that i've seen in my daily routine working life. First and foremost I...
  • Profile image for Abhemanyu Chandrasekaran
    Abhemanyu Chandrasekaran
    2
    In my opinion, this course is great for beginners to the Six Sigma Methodology. It is very well paced and every individual can easily understand and learn to apply all the statistical tools like control charts, Analysis of Variance and others that are...
  • This course is quite interesting. It provided to me a better understanding on Root Cause Analysis and Statistical Process Control. I used both tools in my former job but now I understand them even better. Thanks to Prof. Ott for her excellent job!!

  • Anonymous

    Anonymous completed this course.

    Hello ! I am Nuruzzaman Faruqui from Dhaka, Banglades. I am an Electrical Engineer and working in Banglalink Digital Communications Ltd with the Technical Project Team of my company . I have to work & perform with different project all over the year....
  • Anonymous
    Through this course, I have learned and been introduced to use standard methods and tools for systematically processing and presenting statistical data. I also learned how to use these information for root cause analysis and debugging a process.
  • Profile image for Thomas Andén
    Thomas Andén
    My name is Thomas Andén, I live in the southern part of Sweden, and I work at in an ink manufacturing facility. I learned a lot in this course that I wished I had known years ago, such as how to to do Design of Experiments, how to use Fishbone effectively...
  • Anonymous
    Hello I am Harideep from India

    The course has designed very well and it helped me a lot in solving and analysing the problems that I have faced in my organization

    Thanks a lot
  • Anonymous
    My name is Maria Vittoria Venuti, and I am a chemical engineer, working for BASF in Italy. BASF is a chemical company, and I work in a production site producing surfactants. Even though I do not work as a Six Sigma engineer, I found this course very useful....

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