The Design of Experiments Training, DOE Training for engineers course is intended to show you both hypothesis and hands-on prerequisites important to run and execute the DOE.
Audience:
- Quality managers and engineers
- SPC coordinators
- Quality control technicians
- Consultants
- R&D managers, scientists, engineers, and technicians
- Product and process engineers
- Design engineers
Training Objectives:
- Develop and apply necessary skills required later to solve, design, or optimize more complex problems.
- Perform a full DOE test matrix
- Build a model / Run a DOE to solve problems
- Run a DOE to optimize a system
- Analyze and interpret the DOE results, using ANOVA or graphical methods whichever is relevant
- Understand and perform analysis for experiments: main and interactive effects, experimental error, normal probability plots, identification of “active” efforts, and residual analysis.
- Recognize what parameters have the most impact
- Set up a partial factorial DOE by applying confounding principal
- Analyze and interpret the results from the partial factorial DOE
- Understand the fundamentals and advantages of Robust DOE
- Decide when a Response Surface DOE needs to be executed
- Pick the relevant Response Surface Design
- Analyze and interpret the results of Response Surface
Course Outline:
- Overview of Design of Experiments
- Planning a DOE
- Problem Solving With DOE
- Analyzing The DOE Results
- Various Categories of DOEs (1)
- Various Categories of DOEs (2)
- Confounding
- The Robust / Taguchi DOE
- The Response Surface DOE
Call us today at +1-972-665-9786. Learn more about this course audience, objectives, outlines, seminars, pricing , any other information. Visit our website link below.
Design of experiments training
Comments
Post a Comment