Six Sigma: Define and Measure
Master Six Sigma methodology fundamentals with focus on Define and Measure phases for process improvement.
Master Six Sigma methodology fundamentals with focus on Define and Measure phases for process improvement.
This comprehensive course introduces the Six Sigma methodology and DMAIC process improvement cycle, focusing on the Define and Measure phases. You'll learn to identify customer needs, set project goals, and use statistical techniques for process analysis. The course covers critical topics including process mapping, measurement system analysis, and capability calculations. Through interactive exercises and case studies, you'll master practical applications of statistical concepts in quality improvement. Upon completion, you'll earn TUM Lean and Six Sigma Yellow Belt certification, preparing you for Green Belt certification.
4.6
(89 ratings)
61,047 already enrolled
Instructors:
English
English
Powered by
What you'll learn
Understand Six Sigma methodology and DMAIC process improvement cycle
Identify Voice of the Customer and Critical-to-Quality parameters
Apply statistical techniques for process analysis
Calculate process yield and capability metrics
Perform measurement system analysis
Develop effective sampling plans
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 8 modules in this course
This foundational course in Six Sigma methodology focuses on the Define and Measure phases of the DMAIC process improvement cycle. Students learn essential quality management concepts including Voice of the Customer, Critical-to-Quality parameters, and process capability analysis. The curriculum covers statistical techniques for sampling, measurement system analysis, and process performance evaluation. Through practical exercises and case studies, participants develop skills in process mapping, risk assessment, and quality improvement methodologies. The course provides comprehensive preparation for Six Sigma Yellow Belt certification and serves as a stepping stone toward Green Belt certification.
Six Sigma Introduction
Module 1
DEFINE - Defining the Problem
Module 2
MEASURE - Statistics Review
Module 3
MEASURE - Normal Distribution
Module 4
MEASURE - Process Mapping
Module 5
MEASURE - Measurement System Analysis
Module 6
MEASURE - Process Capability
Module 7
Quality Topics and Course Summary
Module 8
Fee Structure
Instructors
17 Courses
Distinguished Supply Chain Management Scholar at Technical University of Munich
Dr. Martin Grunow is a Professor of Production and Supply Chain Management at Technische Universität München and an adjunct professor at Technical University Denmark. With previous experience at Technical University Berlin and in R&D at Degussa, he has established himself as a leading expert in production and logistics management, focusing on process, electronics, and automotive industries. His academic contributions include over 100 publications in prestigious journals such as the International Journal of Production Economics and European Journal of Operational Research. He serves as an editor for Flexible Services and Manufacturing Journal and OR Spectrum, and has organized more than 30 international conferences. As an associate member of The International Academy of Production Engineering, his research has significantly impacted supply chain optimization, particularly in areas such as perishable food products, automated transport systems, and pharmaceutical supply chains
16 Courses
Professor Production Management Rosenheim
Dr. Holly Ott is a Professor of Production Management and IT Systems at Rosenheim Technical University of Applied Sciences and Senior Lecturer at Technical University of Munich, with additional adjunct professorships at Singapore Management University, IE Business School Madrid, and Syracuse University. With a Ph.D. in Electrical Engineering from the University of Virginia, she brings 12 years of industry experience from roles at Siemens, Motorola, IBM, and Infineon across the USA, Europe, and Asia. Her expertise spans device simulation, quality management, and supply chain optimization. Dr. Ott has received numerous teaching awards, including the 2022 Rosenheimer Lehrpreis and the 2015 TUM Teaching Innovation Award. She holds an IASSC Certified Lean Six Sigma Green Belt, serves as program chair for the Singapore Semiconductor Industry Association's Supply Chain Forum, and directs the TUM Case Centre. Her current research focuses on digitalization in the wood industry and sustainable supply chain management.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.6 course rating
89 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.