This course is required for all employees who actively work on any aspect of product and process development where the goal is to characterize and optimize product and process performance. This course is required for all Product/Process Engineers, Scientists and their Managers. Topics include design and analysis of experiments for product and process characterization and optimization.
On-Site Course
Currently Available
To request this course for on-site training, please click here.
Public Course
Currently Available
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Course Objectives:
Upon completion of the course the participants will be able to:
1. Apply the principles of robust design.
2. Design experiments appropriate for the information of interest.
3. Use and apply the structures of orthogonal arrays for industrial problem solving.
4. Assure the experimental design is efficient .
5. Use regression techniques in order to analyze the results and make process/product improvements.
6. Use software to design and analyze experiments.
Software:
JMP or Minitab
Prerequisites:
ESDA is a requirement.
Section I
Introduction to DOE and Robust Design Principles
DOE Simulation
Eight Principles of Robust Design
Process of Experimentation
Section II
Experimental Preparation
Selecting Factors
Selecting Responses
Selecting Levels
Managing Experimental error
Sampling Plan
DOE Summary Table
Full Factorial Designs
Section III
Section IV
Screening Designs
Taguchi Designs (optional)
Section V
Section VI
Custom Designs
D-Optimal, I-Optimal and RSM Designs Supersaturated Designs
