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Six Sigma: Analyze, Improve, Control

Technische Universität München (Technical University of Munich) via edX

Overview

  • The current course run ends on June 30, 2021. If you think you won't have enough time to finish, you can enroll in the run starting on May 01, 2021 and ending on June 30, 2022*

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 460 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...
  • 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,...
  • 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

    Anonymous completed this course.

    With every industry pursuing Lean practices in their manufacturing processes, knowledge of lean and Six Sigma becomes imperative if you want to pursue career in such an industry!! I was initially doubtful of starting this online course (as I am not much...
  • 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...
  • 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....
  • Anonymous

    Anonymous completed this course.

    The professor Holly Ott understands what a S.M.A.R.T (specific measurable attainable realistic time) quality objective actually is for a each of her lectures. Furthermore she follows the 3E( FEMA Reinforcing the perception of fair treatment 3E) of communication...
  • 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....
  • 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!!

  • Angel Efren Rojas Kingland completed this course, spending 24 hours a week on it and found the course difficulty to be hard.

    Excellent course, require dedication to complete it successfully. It is quite abstract for those without previous knowledge in Statistics.

    Well prepared by people with experience in the field.
  • Anonymous
    Absolutely worth your time investment, very informative, and organized. The course and its lectures are structured in way which the objective is clearly defined. Holly does a great job presenting the concepts with real-world applications of them, as well...
  • Profile image for Umang Mittal
    Umang Mittal

    Umang Mittal completed this course, spending 20 hours a week on it and found the course difficulty to be medium.

    The course content is very much helpful and informative. The course really helps to gain insight into the lean production and six sigma. The concepts are very much latest and related with industry. The course has helped me a lot for securing the internship...
  • Profile image for Alexander Jaime Hernández Mitchell
    Alexander Jaime Hernández Mitchell

    Alexander Jaime Hernández Mitchell completed this course, spending 4 hours a week on it and found the course difficulty to be medium.

    This course teaches you the foundation knowledge required to master Lean manufacturing. Passing the 3 courses of Edx with Tum university you can achieve a yellow belt certificate in lean manufacturing that is a great acknowledgement and starting point...
  • Anonymous
    Γεια σας!! Ονομάζομαι Βαλσαμάκη Δάφνη και κατάγομαι από μια όμορφη πόλη της Ελλάδας, τις Σέρρες!! Είμαι πολύ ενθουσιασμένη και ικανοποιημένη με τις γνώσεις τις οποίες απέκτησα παρακολουθώντας το μάθημα, six sigma: Analyze, Improve, Control. Για την ανάλυση χρησιμοποιήσαμε διάφορα συστήματα όπως το ANOVA, μάθαμε για τα διαγράμματα ελέγχου και για τις διάφορες μεθοδολογίες που μπορούμε να χρησιμοποιήσουμε για την βελτίωση της ποιότητας, τον επανασχεδιασμό προϊόντων, κ.α.
    Σας ευχαριστώ για τις πολύτιμες γνώσεις που μου προσφέρατε!

    Με εκτίμηση
    Βαλσαμάκη Δάφνη.
  • Anonymous
    Name: Ryan Alo Location: Papua New Guinea, Port Moresby Company Type: Oil and Gas Upstream processing Title: Graduate Mechanical Engineer Three things that I learnt: 1. Analyse, improve and control Phases of the Defect elimination Process. Defect...
  • Anonymous

    Anonymous completed this course.

    Six Sigma: Analyze, Improve, Control Reviewed by Raoul. Location: Melbourne, Australia. Purpose of study: self-improvement and/or upskilling. I have quite enjoyed taking this course over the last several weeks, in particular I appreciate the structure...
  • Anonymous
    My name is Lorenzo Salvi, I am from Italy and I have a Master's degree in Philosophy and Economics at the University of Bayreuth. After being hired for a Quality Control position in my hometown, I decided to follow this course in order to gain a basic...
  • Profile image for Murali Krishna
    Murali Krishna

    Murali Krishna completed this course, spending 5 hours a week on it and found the course difficulty to be medium.

    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. Every lecture were very well articulated, elaborately explained...

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