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edX

Six Sigma: 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 798 Class Central reviews

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

  • 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 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...
  • 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,...
  • 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...
  • 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,...
  • 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.
  • Utpal Dutta
    The course is a very effective  learning tool for the DMAIC-Analyze Improve Control process of the Six Sigma regime.The salient feature of the course are : 1. The contents of the course is very very precise and to the point. 2. Every topic is explained...
  • 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...
  • Anonymous
    Hello! My name is Tatiana Polishchuk. I am a student of the Czech Technical University in Prague. I am a second year student in Economics and Management(Bachelor degree). The course was online, nevertheless there was a complete immersion in the topic...
  • 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
  • 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 Lean...
  • 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
    Stan (Tracy) Arola-Johnson Phoenix, AZ self employed I loved taking the Six Sigma and Lean Production courses. The things that will help me the most are: 1. Increased understanding in the Measure stage of DMAIC. Since my previous employment was in...
  • Profile image for Abhemanyu Chandrasekaran
    Abhemanyu Chandrasekaran
    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!!

  • Profile image for Eftychia Athanasiou
    Eftychia Athanasiou

    Eftychia Athanasiou completed this course, spending 15 hours a week on it and found the course difficulty to be medium.

    During my internship in a factory of a FMCG multinational company, it was the first time I ever heard about Lean Six Sigma. In 2018, as I was looking back at the four different jobs I've worked on in different factories, I realized that LSS was a must...
  • 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....
  • David
    I work for a software company in Germany. Through the course "Six Sigma: Analyze, Improve, Control" I now got a profound unterstanding what is required to execute a successful Six Sigma project.. I was taught how to analyze root cause, supported with...
  • Anonymous
    The TUMx QPLS2x Six Sigma: Analyze, Improve, Control is a very complete course. I was particularly absorbed by the 8 sessions. The structure of the course (lessons + practices + examples + homeworks) is well built. The amount of concepts I've learned...

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