Fundamentals of Six-Sigma: Quality Engineering and Management
Offered By: Technische Universität München (Technical University of Munich) via edX
Course Description
Overview
Since the introduction of mass production, the concept of “quality” has evolved from simple assembly line inspections to a broad approach to production and management involving an entire corporation. Quality has become a critical driver for long-term success through continuous process improvement and customer satisfaction. Quality Management today concerns the entire value chain, encompassing multi-tiered supplier networks and customer service and returns.
This business and management course balances the quantitative elements of quality engineering with a managerial approach to using quality in an organization to effect change. We cover the statistical basics needed for a Six-Sigma Green Belt certification, following the well-known process-improvement cycle: Define, Measure, Analyze, Improve, and Control. The most important quality methods and techniques are taught, including sampling, statistical process control, process capability, regression analysis, and design of experiments. Quality management is examined, from the viewpoint of quality incorporated into product design, measuring and controlling quality in production and improving quality, using interactive, guided projects and case studies. The course closes with the presentation of a full Six-Sigma project.
The contents of this course are essentially the same as those of the corresponding TUM class (Quality Engineering and Management) and will enable you to immediately understand and apply quality concepts in your work and research.
WHY TAKE THIS COURSE?
- Quality issues appear everywhere and affect the entire organisation.
- You'll quickly master quality concepts so that you can apply quality tools and drive quality programs within your own organisation.
- You'll gain the fundamentals for a Six-Sigma Green Belt in a manageable and positive learning environment, along with the chance to discuss with staff and fellow learners worldwide.
Taught by
Holly Ott and Martin Grunow
Related Courses
Preparing for the AP* Statistics ExamUniversity of Houston System via Coursera Exploration et production de données pour les entreprises
University of Illinois at Urbana-Champaign via Coursera Исследование и генерация данных для принятия бизн.-реш.
University of Illinois at Urbana-Champaign via Coursera Intro to Research Methods
City College of San Francisco via California Community Colleges System Introductory Statistics
City College of San Francisco via California Community Colleges System