Fundamentals of Six Sigma
Quality Engineering and Management
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.
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 10 weeks |
Effort | 3-4 hours per week |
Starts | On Demand (Start anytime) |
Cost | $0 |
From | Technische Universität München via edX |
Instructors | Martin Grunow, Holly Ott |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Business Data Science |
Tags | Business & Management Data Analysis & Statistics Engineering |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Quality Management Coordinator 3 $58k
Quality Control Management $76k
Quality Management 2 $77k
Quality Management Coordinator 1 $80k
Quality Management Clinician $85k
Quality Management Advisor $87k
Quality Management Systems $92k
Regional Quality Management $97k
Retired Quality Management $106k
Software Quality Management $108k
Quality & Program Management $108k
Supervisor Quality Management 3 $112k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 10 weeks |
Effort | 3-4 hours per week |
Starts | On Demand (Start anytime) |
Cost | $0 |
From | Technische Universität München via edX |
Instructors | Martin Grunow, Holly Ott |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Business Data Science |
Tags | Business & Management Data Analysis & Statistics Engineering |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course