Six Sigma: Analyze, Improve, Control
Technische Universität München (Technical University of Munich) via edX
- Provider edX
- Cost Free Online Course (Audit)
- Session Self Paced
- Language English
- Certificate $99 Certificate Available
- Effort 3-4 hours a week
- Duration 8 weeks long
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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 Failure Modes and Effects Analysis 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 the 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 Yellow Belt level. The material is based on the American Society of 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
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 one-way Analysis of Variance (ANOVA) for comparing the between-factor variaion to the within-factor variaion 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 center line.
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 Reponse 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.
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Reviews for edX's Six Sigma: Analyze, Improve, Control Based on 55 reviews
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- 4 stars 7%
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I was initially doubtful of starting this online course (as I am not much of a virtual-class fan), but this course really blew me away with level of engagement it evoked in me! The lecture videos aren't just a formality to go though all the topics they promise but so meticulously structured that by the end of each module per course ( I have done all the modules in all 3 course in the series) you get equ…
The course has helped me a lot for securing the internship at Schaeffler Company. The material has proved to be very much useful with the project I am working in Schaeffler.
One of the best online course to learn the concept of Six sigma. This course has helped me professionally as well as personally, whether taking a decision or solving a problem a raised.
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The classes are given using recorded videos in English. Subtitles and power point presentations to improve e following of the classes are also made available.
Every chapter is wrapped up …
Every lecture were 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 cleared by the staff, who promptly reply to every query posted. And the icing on the cake was by Mr. Reiner Hutwelker, who summarized the six sigma stages elaborately in week 8 lectures. Sigma guide is awesome!
Thank you everyone who structured this course as is and my best wishes for your future endeavors.
Thank you Holly Claudia Ott, Technical University Munich and edX.
#leansixsigma #leanmanufacturing #sixsigma
I am happy to inform you that I have now passed the Green Belt certification of ASQ . Waiting for the certificate to arrive.
Even though my experience span over 27 yrs in the industry, I could not formally get educated in the Six Sigma BOK. Your course helped me a lot in this regard. Many thanks to you , Prof Zubair and to your entire team of this course.
Thank You once again
This course on Analyse, Improve, and Control covered pareto analysis, hypothesis testing and confidence intervals, design of experiments (DOE), and ANOVA. It further covered control charts and statistical process control (spc).
The course ended with a discussion on various problem solving methods, such as the eight disciplines (8D) and the five whys.
At the end we also had a quick look at how the DMAIC approach can be adapted in …
Holly Ott is a great teacher that makes you understand every single topic.
Can't wait to start the final course of this specialization.
Totally recommended!
The guest lectures also usually provide a more technical perspective that often includes some of the …
The course is very well structured, the complexity is just fine for upper-beginner level, the topics are explained in good details. Nevertheless you need to have some knowledge in statistics (I believe the engineers are very ok with this). You have the opportunity to replay video and recheck the material before advancing, the practical exercises are very useful and you may check the explanations and clarifications (after you answer).
The instructors give good examples to show how the theory can be…
The DMAIC approach for six sigma being taught from TUMx is really a black belt skills and techniques for problem solving, process improvement and control.
Even though i am done with the course i will still be referring the course materials for future use, is a great lecture.
Thanks to Holly Ott and team, i really wish to have personal encounter with Prof. Ott i n the future.
regards, Anyimadu.
Many thanks to instructor, Dr. Holly Ott, her teaching style, course notes are easy to grasp. She addressed many of the concepts using many practical examples which make it very helpful to understand concepts, theories and the math. Her lectures and her practice question are very good preparations for the quizzes and homework assignments.
I find this course is a very good start to help me refresh my knowledge and improve my skills and better prepare me for my future career.
Worths every cent of its fee. It contains a wealth of applied knowledge and it is packed with many examples, case studies, and quizes that contribute to the deep understanding of the material taught.
While the course builds from the ground up , it is not just an introductory course. It covers in depth the lean 6σ green belt body of knowledge.
Bonus: At the end of the course there is an extra series of videos for a practical application of what has been taught in the course. This bonus material is so extended and helpful could be a course of its own.
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