Who should attend
This course is designed for engineers and quality personnel currently working in low- to high-volume manufacturing operations, business owners and managers interested in providing their teams with more powerful tools for resolving issues, and engineering students who want to acquire a competitive advantage heading into the real world.
About the course
Would you like to learn a disciplined approach to quickly identify the driving causes of complex technical issues? No training is needed to attend this Effect to Cause Problem Solving class — just come ready to learn! This course provides you with critical skills to quickly get to the heart of what is causing a process or system to behave in an undesirable fashion. Discover a unique and systematic process for problem solving to quickly hone in on the root cause(s) of complex and chronic technical issues. In just three days, you'll be ready to apply the methods to actual problems.
What You Will Learn
- Problem and project statements
- Output response determination and verify measurement system
- The correct application of core tools
- Dominant cause contribution using full factorial means up to four factors
- How to use confirmation tools to statistically prove identified root cause was correct
- Effect to cause and convergent methods using non-parametric statistical tools
- How to identify sources of contrast and how to determine family of variation strategy
- The dynamics of problem solving
How You Will Benefit
- Develop skills to quickly determine the dominant cause of ill-performing designs.
- Learn to solve problems faster using fewer samples, and with less interruption to production.
- Become a more competent problem solver who is ready to apply the methods to actual problems in just three days.
- Change conventional thinking to use effect to cause and convergent methods using non-parametric statistical tools.
- Introduction to problem solving
- Introduction to problem and project statements
TOOLS AND TECHNIQUES
- Core tools and family of variation
- Product response study
- Wilcoxon paired and Tukey rank order
- Confirmation testing, summary, and questions
- Apply the effect to cause tools and techniques to a case study to determine the causes of failure for an unmanned aerial vehicle system.
Dr. Jack Zentner is a Senior Research Engineer at the Electronic Systems Laboratory (ELSYS) in the Georgia Tech Research Institute (GTRI). His primary area of research is in the development of and application of systems engineering tools and methods to the design of large scale, complex systems. ...
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.