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Martin Grunow and Holly Ott

In this first course of the Six Sigma Program, you will understand the background and meaning of Six Sigma and the five steps of the DMAIC process improvement flow: Define, Measure, Analyze, Improve, and Control. Discuss what "Quality" means and how to identify the Voice of the Customer.

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In this first course of the Six Sigma Program, you will understand the background and meaning of Six Sigma and the five steps of the DMAIC process improvement flow: Define, Measure, Analyze, Improve, and Control. Discuss what "Quality" means and how to identify the Voice of the Customer.

You will learn how to set an improvement project goal, calculate process yield, and identify Critical-to-Quality parameters.

You will learn how to map a process and to use the necessary statistical techniques to establish the baseline performance of a process and to calculate the process capability.

To complement the lectures, we provide 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 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 understand the background and meaning of the Six Sigma methodology and the role of the DMAIC process improvement cycle.
  • To identify the Voice of the Customer and translate into Critical-to-Quality parameters.
  • To understand the concept of random variables, probability mass functions, and probability density functions.
  • To calculate probabilities using the Normal distribution.
  • To understand how the Central Limit Theorem applies to sampling and how to set up sampling plans.
  • To understand the importance of a Measurement System Analysis in a Six Sigma project.
  • To calculate Process Yield and Process Capability.
  • To perform a risk assessment using a Failure Modes and Effects Analysis.
  • How to apply the Define and Measure phases of the DMAIC cycle in your work or research, in order to identify problems and quantitatively assess the impact of process changes using statistical analysis.

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What's inside

Learning objectives

  • To understand the background and meaning of the six sigma methodology and the role of the dmaic process improvement cycle.
  • To identify the voice of the customer and translate into critical-to-quality parameters.
  • To understand the concept of random variables, probability mass functions, and probability density functions.
  • To calculate probabilities using the normal distribution.
  • To understand how the central limit theorem applies to sampling and how to set up sampling plans.
  • To understand the importance of a measurement system analysis in a six sigma project.
  • To calculate process yield and process capability.
  • To perform a risk assessment using a failure modes and effects analysis.
  • How to apply the define and measure phases of the dmaic cycle in your work or research, in order to identify problems and quantitatively assess the impact of process changes using statistical analysis.

Syllabus

Week 1: Six Sigma Introduction Introduction to the Six Sigma Methodology and the DMAIC process improvement cycle. Understand the contributors to the cost of quality. Discuss the difference between defects and defectives in a process and how to calculate process yield, including a comparison of processes of different complexity using the metric DPMO.
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Week 2: DEFINE - Defining the Problem Discuss how to understand customer expectations, using the Kano Model to categorize quality characteristics. Start the first and difficult task of a Six Sigma project, Defining the Problem, and review the key content in a Project Charter.
Week 3: MEASURE - Statistics Review Review of random variables and probability distributions used commonly in quality engineering, such as Binomial, Poisson, and Exponential. Cover descriptive statistics, emphasizing the importance of clearly communicating the results of your project.
Week 4: MEASURE - Normal Distribution Learn the characteristics of the Normal Distribution and how to use the Standard Normal to calculate probabilities related to normally distributed variables. Cover the Central Limit Theorem, and how it relates to sampling theory.
Week 5: MEASURE - Process Mapping Introduce Process Mapping, including SIPOC and Value Stream Mapping. We identify the Critical-to-Quality characteristic for a Six Sigma project
Week 6: MEASURE - Measurement System Analysis Learn the basics of Measurement Theory and Sampling Plans, including Precision, Accuracy, Linearity, Bias, Stability, Gage Repeatability & Reproducibility
Week 7: MEASURE - Process Capability Introduction to Process Capability and the metrics CP/CPK for establishing our baseline process performance.
Week 8: Quality Topics and Course Summary Cover the basics of Tolerance Design and the risk assessment tool failure Mode and Effects Analysis (FMEA). Review the complete Six Sigma Roadmap before summarizing and closing the course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
May assist students in a business setting or those who wish to work in Six Sigma
Lowers the barrier to entry for Six Sigma by equipping learners with Green Belt-level skills
Provides a solid foundation in Lean Six Sigma, a valuable methodology in industry
Course progression resembles that of an accredited program
Covers the common probability distributions applied in Six Sigma and process improvement
Introduces learners to advanced process improvement concepts

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Reviews summary

Effective six sigma foundation course

This course is well-received by learners. It provides a solid foundation in Six Sigma methodologies, focusing on the Define and Measure phases of the DMAIC process improvement cycle. The course content is comprehensive and engaging, with real-world examples, case studies, and guest lectures from industry experts. The instructor is knowledgeable and supportive, making the learning experience enjoyable and effective.
Demanding but achievable course material.
"This is perhaps the most demanding course in the Six Sigma Yellow Belt Certification, but like the others - it's greatly designed and with some work can be successfully mastered."
Practical and applicable knowledge for real-world scenarios.
"all the three courses combined yield a lot of know how about SIX SIGMA."
Captivating and interactive learning environment.
"Easy to follow and recommended."
"This course feels like a real project. Case studies of real companies are also included in it, which makes it more interesting."
"Many guest lectures from different reputed personals in the field of Quality Engineering are added."
Comprehensive and informative course content.
"This course covers a widespread variety of topics, all related and linked to the first two phases of DMAIC cycle."
Experienced and supportive course instructor.
"The course instructor (Holly) is giving a lot of good examples to show how the theory can be used in practice."
"Holly, the course instructor is an excellent teacher."
"And the most important, the course instructor Holly possesses a very nice attitude, she isn't not like those boring professors."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Six Sigma Part 1: Define and Measure with these activities:
Read 'Six Sigma for Dummies'
Supplement your understanding of Six Sigma fundamentals with a comprehensive overview from this accessible book.
Show steps
  • Read the chapters covering the Define and Measure phases of Six Sigma
  • Make notes and highlight key concepts
Identify Areas for Improvement
Kick off your Six Sigma journey by identifying areas for improvement in your work or research.
Show steps
  • Review course materials on the Define phase of DMAIC
  • Identify critical processes in your work or research
  • Gather data on these processes to identify potential areas for improvement
Follow Tutorials on Measurement System Analysis
Enhance your understanding of Measurement System Analysis through guided tutorials.
Show steps
  • Identify online tutorials or resources on Measurement System Analysis
  • Follow the tutorials to learn about precision, accuracy, and bias
  • Apply these concepts to a practical scenario
Five other activities
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Show all eight activities
Practice Probability Calculations
Sharpen your skills in probability calculations, a foundational concept in Six Sigma.
Browse courses on Normal Distribution
Show steps
  • Review the concepts of random variables and probability distributions
  • Solve practice problems on calculating probabilities using the Normal distribution
  • Apply these concepts to real-world examples
Join a Study Group
Engage with fellow learners to discuss course concepts, share perspectives, and enhance your understanding.
Browse courses on Quality
Show steps
  • Find a study group or form one with classmates
  • Set regular meeting times to discuss course materials
  • Work together to solve exercises and case studies
Develop a Process Map
Create a visual representation of a process to identify areas for optimization and improvement.
Browse courses on Process Mapping
Show steps
  • Select a process for analysis
  • Use SIPOC or Value Stream Mapping to create a process map
  • Identify bottlenecks and opportunities for improvement
Create a Presentation on Process Capability
Deepen your understanding of Process Capability by creating a presentation that explains its concepts and applications.
Browse courses on Process Capability
Show steps
  • Research and gather information on Process Capability
  • Develop a clear and concise presentation outline
  • Illustrate key concepts with real-world examples
Participate in a Six Sigma Simulation Competition
Apply your Six Sigma skills in a simulated competition to demonstrate your understanding and problem-solving abilities.
Browse courses on Six Sigma
Show steps
  • Find a Six Sigma simulation competition
  • Form a team or work individually
  • Use the DMAIC methodology to analyze a simulated business problem

Career center

Learners who complete Six Sigma Part 1: Define and Measure will develop knowledge and skills that may be useful to these careers:
Quality Engineer
Quality Engineers are responsible for developing and implementing quality control systems and procedures. They ensure that products and services meet customer requirements and industry standards. The Six Sigma Part 1: Define and Measure course can provide Quality Engineers with a strong foundation in the Six Sigma methodology, which can help them to improve the quality of their work and the efficiency of their processes.
Process Engineer
Process Engineers design, improve, and optimize processes to ensure that they are efficient and effective. They use statistical analysis to identify and eliminate waste and variation in processes. The Six Sigma Part 1: Define and Measure course can help Process Engineers to develop the skills and knowledge necessary to improve the performance of their processes.
Industrial Engineer
Industrial Engineers design, improve, and install integrated systems of people, materials, information, equipment, and energy. They use statistical analysis to improve the efficiency and effectiveness of systems. The Six Sigma Part 1: Define and Measure course can help Industrial Engineers to develop the skills and knowledge necessary to improve the performance of their systems.
Manufacturing Engineer
Manufacturing Engineers plan and oversee the production of products. They work to improve the efficiency and quality of manufacturing processes. The Six Sigma Part 1: Define and Measure course can help Manufacturing Engineers to develop the skills and knowledge necessary to improve the performance of their manufacturing processes.
Statistician
Statisticians collect, analyze, interpret, and present data. They use statistical methods to solve problems and make decisions. The Six Sigma Part 1: Define and Measure course can help Statisticians to develop the skills and knowledge necessary to improve the quality of their work.
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use statistical analysis to draw conclusions from data. The Six Sigma Part 1: Define and Measure course can help Data Analysts to develop the skills and knowledge necessary to improve the quality of their work.
Project Manager
Project Managers plan, organize, and execute projects. They work to ensure that projects are completed on time, within budget, and to the required quality standards. The Six Sigma Part 1: Define and Measure course can help Project Managers to develop the skills and knowledge necessary to improve the quality of their work.
Operations Manager
Operations Managers plan and oversee the production of goods and services. They work to improve the efficiency and effectiveness of operations. The Six Sigma Part 1: Define and Measure course can help Operations Managers to develop the skills and knowledge necessary to improve the performance of their operations.
Quality Manager
Quality Managers are responsible for developing and implementing quality management systems. They ensure that products and services meet customer requirements and industry standards. The Six Sigma Part 1: Define and Measure course can provide Quality Managers with a strong foundation in the Six Sigma methodology, which can help them to improve the quality of their work and the efficiency of their processes.
Business Analyst
Business Analysts analyze business processes to identify areas for improvement. They use statistical analysis to identify and eliminate waste and variation in processes. The Six Sigma Part 1: Define and Measure course can help Business Analysts to develop the skills and knowledge necessary to improve the performance of their processes.
Consultant
Consultants provide advice and guidance to organizations on how to improve their performance. They use statistical analysis to identify and eliminate waste and variation in processes. The Six Sigma Part 1: Define and Measure course can help Consultants to develop the skills and knowledge necessary to improve the performance of their clients.
Researcher
Researchers conduct studies to investigate new ideas and theories. They use statistical analysis to analyze data and draw conclusions. The Six Sigma Part 1: Define and Measure course can help Researchers to develop the skills and knowledge necessary to improve the quality of their research.
Educator
Educators teach students about a variety of subjects. They use statistical analysis to help students learn about data and make informed decisions. The Six Sigma Part 1: Define and Measure course can help Educators to develop the skills and knowledge necessary to improve the quality of their teaching.
Scientist
Scientists study the natural world to learn about its laws and principles. They use statistical analysis to analyze data and draw conclusions. The Six Sigma Part 1: Define and Measure course can help Scientists to develop the skills and knowledge necessary to improve the quality of their research.
Engineer
Engineers design, build, and maintain machines, structures, and systems. They use statistical analysis to analyze data and make informed decisions. The Six Sigma Part 1: Define and Measure course can help Engineers to develop the skills and knowledge necessary to improve the quality of their work.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Six Sigma Part 1: Define and Measure.
A foundational text on Lean manufacturing, which is closely related to Six Sigma.
A practical guide to the tools and techniques used in quality improvement, including Six Sigma.
A classic textbook on statistical quality control, providing a solid foundation in the statistical methods used in Six Sigma.
A more accessible introduction to Six Sigma, written in a clear and concise style.

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