Design of Experiments (DOE)
Who Should Attend?
All levels of an organization can benefit from Design of Experiments Training. DOE is the last week of the Black Belt Training or can be taught as a stand alone class. DOE will provide participants a basic understanding of the DMAIC roadmap, however most of the course will focus on the Improve Phase, looking for the best input settings to achieve the required output result.
What to Expect:
This 5 day class is Week 4 of Lean Six Sigma Black Belt training and will provide each participant with the ability to:
- Identify and Define opportunities within their business unit processes where Six Sigma tools and techniques can, and will be applied
- Measure and Analyze a process using the six sigma methodology
- Improve a process using six sigma principles. Much time will be spent understanding how input variables affect outputs. Finding the most economic settings in processes to achieve desired results is the key.
- Control a process by using Six Sigma tools and realize Return on Investment (ROI) from this training to improve the bottom line
- Repeatedly apply the Define – Measure – Analyze – Improve – Control (DMAIC) strategy to produce success stories and improve the corporate scorecard
- Communicate at all levels of an organization
- Change the culture of an organization
Course Outline
- Module 1 - Variance Reduction
- Module 2 - Introduction to Design of Experiments (DOE)
- Module 3 - The Basics – Design of Experiments
- Module 4 - Two-Level Screening Designs
- Module 5 - Two-Level Modeling Designs
- Module 6 - Three-Level Screening Designs
- Module 7 - Three-Level Modeling Designs
- Module 8 - Historical Data Design of Experiments
- Module 9 - Robust Designs
Extra Materials:
- Glossary
- Completed Project Example
- References
Services
- Lean
- Six Sigma
- Lean Six Sigma
- Design for Lean Six Sigma
- Customer Focus Workshop
- Statistical Process Control
- Design of Experiments
- Failure Modes and Effects Analysis
- Control Charting
- Measurement System Analysis
- Intro to Statistical Tools for Data Mining
- Specialty Consulting
- Public Courses
- Current Events
- Past Events

