Cover the fundamentals for quality engineering and management, applied to the DMAIC (Define, Measure, Analyze, Improve, Control) process-improvement cycle.
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 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 each of the well-known process-improvement cycle steps: Define, Measure, Analyze, Improve, and Control, covering the most important quality methods and techniques including sampling, statistical process control, process capability, regression analysis, and design of experiments. Quality assurance is examined, from the viewpoint of quality incorporated into product design, measuring and controlling quality in production and improving quality using quantitative problem-solving and interactive, guided exercises.
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.
What you'll learn:
- The fundamentals for quality engineering and management
- The statistical basics to apply the DMAIC process-improvement cycle to your work and research