Six Sigma: Analyze, Improve, Control

Learn how to statistically analyze process data to determine the root cause and propose solutions for process problems, to implement quality management tools, such as 8D and the 5 Whys, and to understand the concept of Design for Six Sigma (DFSS).

Course 2 of 3:Professional Certificate in Lean Six Sigma Yellow Belt: Quantitative Tools for Quality and Productivity 8 Weeks 3 - 4 Hours per week recommended
3513

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About This Course:

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.
 

What You’ll Learn:

  • To identify process problems and perform a root cause analysis using cause and effect diagrams and regression analysis.
  • To analyze data using inferential statistical techniques, including confidence intervals and hypothesis testing.
  • To test and quantitatively assess the impact of different improvement options using the design of an experiment.
  • To test for the significance of effects using an Analysis of Variance.
  • To implement control mechanisms for long-term monitoring using control charts for both quantitative and qualitative measurements.
  • To apply the Six Sigma methodology for the Analyze, Improve and Control phases in your work or research.

Frequently Asked Questions:

Who offers this program?
The Professional Certificate Program Six Sigma and Lean: Quantitative Tools for Quality and Productivity is offered by edX and the Technical University of Munich (TUM).

How many courses are in the program?
There are three courses in this program:
Course1 QPLS1x – Six Sigma: Define and Measure
Course2 QPLS2x – Six Sigma: Analyze, Improve, Control
Course3 QPLS3x – Lean Production

Do I need to take the courses in order?
The courses should be completed sequen tially, but it is not required that they are completed in any particular order. However, as Course2 QPLS2x – Six Sigma: Analyze, Improve, Control builds on the material in Course1 QPLS1x – Six Sigma: Define and Measure, we strongly recommend that you take QPLS1x before you take QPLS2x.

Which certification do I earn for this course?
You will earn the Verified Certificate forCourse2 QPLS2x – Six Sigma: Analyze, Improve, Control.

What certificates do I earn with this program?
Upon successful completion of this program, learners will earn both the edX Professional Certificate for the program and the TUM Lean Six Sigma Yellow Belt certification. In order to achieve the TUM Lean Six Sigma Yellow Belt Certification it is mandatory to complete all 3 courses in the program and achieve a Verified Certificate in each. Then, automatically, you will earn the edX Professional Certificate and the TUM Lean Six Sigma Yellow Belt certification.
The TUM LSSYB 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.

What is the passing grade for the course?
An overall average for all homework sets and peer-review assignments of 70% is required to pass the course.

Do I need to achieve 70% on each homework?
No, you need an average grade for all homework sets and peer-review assignments of 70%. This means you can do poorly or miss a homework set as long as you do well enough on other homework sets to achieve 70% overall.

How do I receive the edX Professional Certificate for this program?
The Professional Certificate will be available from your dashboard after the end of the course.

How do I receive the TUM Lean SixSigma Yellow Belt Certification for this program?
If you have earned the Verified Certificate for all three courses in the program, then you will receive the edX Professional Certificate and the TUM Lean Six Sigma Yellow Belt. These will be sent to you by email.
— For those finishing all courses by October 31, you will receive your certificate before November 31.
— For those finishing all courses by February 28, you will receive your certificate before March 31.
— For those finishing all courses by June 30, you will receive your certificate before July 31.

When you have passed all three courses with a verified certificate and received the edX Professional Certificate, you can also include in your CV that you have achieved the TUM Lean Six Sigma Yellow Belt, TUMLSSYB .

Meet Your Instructors:

Martin Grunow

Martin Grunow is a professor of production and supply chain management at Technische Universität München and an adjunct professor at Technical University Denmark, where he previously held a professorship in Operations Management. Earlier, he worked at Technical University Berlin and in the R&D department of Degussa, a multinational company producing special chemicals. His research interests are in production and logistics management with a focus on the process, electronics and automotive industries. He has coauthored more than 100 publications amongst others in International Journal of Production Economics, International Journal of Production Research, European Journal of Operational Research, CIRP Annals, Flexible Services and Manufacturing Journal, and OR Spectrum. For the latter two journals, he also acts as an editor. Martin Grunow has been on the program committee and track organizer of more than 30 international conferences and is an associate member of The International Academy of Production Engineering.

Holly Ott

Holly Ott is a professor of Production Management and IT Systems at the University of Rosenheim Applied Sciences and Management, a senior lecturer at the Technical University of Munich and an adjunct professor at Singapore Management University (Singapore), IE Business School (Madrid) and Syracuse University (New York). She holds a Ph.D. in electrical engineering from the University of Virginia and has worked for twelve years in quality and supply chain management in the USA, Europe and Asia for Siemens, Motorola, IBM and Infineon. Her work has been in the areas of device simulation, electrical and reliability testing, and quality and supply chain management. She holds a International Association for Six Sigma Certification (IASSC) Certified Lean Six Sigma Green Belt (ICGB) and is a member of the American Society for Quality (asq.org). Holly is the program chair for the Singapore Semiconductor Industry Association's Supply Chain Forum and academic director of the TUM Case Centre.

Learner Testimonials

“I did not have any prior knowledge of Quality Management but have always known the value, importance, and job demand related to this topic. I am very glad that i enrolled for this course, although i have to put little extra efforts and time to understand the material but i am very thankful to Dr. Holly Ott for her special teaching skills to explain every topic in a simple way and with practical examples. I also appreciate the guest speakers and their expertise in the subject. I plan to complete all the three courses of this certificate program as soon as i can. I am into my very first course and within couple of weeks i was motivated to look into CSSGB (Certified Six Sigma Green Belt), as I know CSSGB is going to be very useful for professional advancement. I believe if i understand these three Quality Management courses my foundation to study for CSSGB with be solid. My Humble Gratitude to the entire MOOC team and EdX team and many more who are behind the scene to provide us best education from the top most educational institutes.”

--Asha Grover

“This is my second time around using statistics. In Define and Measure I was able to learn how to apply statistics to define problems in in factories and industries. And the ability to measure the results to start an improvement process. I love the instructors who lectured the course. They all have such a breadth of knowledge. My goal after completing this series is to get certified through ASQ to get my Green Belt. I feel confident that this series will lead to that goal.”

--Previous student

“If you are new to Six Sigma like me, this course will greatly expand your skills and knowledge. The course includes many examples, practical exercises, real life case studies, and guest lecturers. These help to reinforce concepts, apply the math, and master the topics.”

--David Rozene

“One of the best online course for 6 sigma. This course has helped me professionally as well as personally, whether taking a decision or solving a problem raised. Very well-articulated, elaborately explained with proper usage of tools and most importantly usage of formulae & examples for numerical problem solving. Discussion forum to share and learn from your peers and getting your doubts clearly by the staff, who promptly reply to every query posted. Thank you everyone who structured this course as is and my best wishes for your future endeavors.”

--Murali Dhepalli

“I did not have any prior knowledge of Quality Management but have always known the value, importance, and job demand related to this topic. I am very glad that i enrolled for this course, although i have to put little extra efforts and time to understand the material but i am very thankful to Dr. Holly Ott for her special teaching skills to explain every topic in a simple way and with practical examples. I also appreciate the guest speakers and their expertise in the subject. I plan to complete all the three courses of this certificate program as soon as i can. I am into my very first course and within couple of weeks i was motivated to look into CSSGB (Certified Six Sigma Green Belt), as I know CSSGB is going to be very useful for professional advancement. I believe if i understand these three Quality Management courses my foundation to study for CSSGB with be solid. My Humble Gratitude to the entire MOOC team and EdX team and many more who are behind the scene to provide us best education from the top most educational institutes.”

--Asha Grover

“This is my second time around using statistics. In Define and Measure I was able to learn how to apply statistics to define problems in in factories and industries. And the ability to measure the results to start an improvement process. I love the instructors who lectured the course. They all have such a breadth of knowledge. My goal after completing this series is to get certified through ASQ to get my Green Belt. I feel confident that this series will lead to that goal.”

--Previous student

“If you are new to Six Sigma like me, this course will greatly expand your skills and knowledge. The course includes many examples, practical exercises, real life case studies, and guest lecturers. These help to reinforce concepts, apply the math, and master the topics.”

--David Rozene

“One of the best online course for 6 sigma. This course has helped me professionally as well as personally, whether taking a decision or solving a problem raised. Very well-articulated, elaborately explained with proper usage of tools and most importantly usage of formulae & examples for numerical problem solving. Discussion forum to share and learn from your peers and getting your doubts clearly by the staff, who promptly reply to every query posted. Thank you everyone who structured this course as is and my best wishes for your future endeavors.”

--Murali Dhepalli
3513

Duration

8 Weeks

Experience Level

Introductory

Learning Partner

Technische Universität München

Pacing

Self-paced

Program Type

Professional Certificate

Subject

Business & Management Data Analysis & Statistics Engineering