Design of Experiments

Course Description

Design of Experiments is specifically designed to meet the analytical needs of those individuals working within a variety of industries. Instruction covers both basic and advanced concepts for the design and analysis of experiments.

Audience

This course is required for all scientists, engineers and quality professionals who actively work on any aspect of discovery product and process development where the goal is to characterize, optimize and improve product and process performance.

Prerequisites:

Engineering Statistics and Data Analysis is a recommended prerequisite for this course.

16 Hours

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Contact Information

Email
paulette@pyyoungassociates.com

Phone
1 (650) 967-2700

Address
P.O. Box 2103
Sunnyvale, CA 94087-0103

Course Objectives

Upon completion of the course the participants will be able to:

Select factors and responses for experiments
Design experiments appropriate for the information of interest
Use and apply the structures of orthogonal arrays for product and process development and problem solving
Ensure the experimental design is efficient
Use regression techniques in order to analyze the results and make process/product improvements
Use JMP software to design and analyze experiments

Course Outline:

Introduction to DOE

Experimental Preparation

Full Factorial Designs

Screening Designs
Augment design

Custom Designs
Generating custom designs
Evaluating custom designs
Analysis of custom designs
Simulation for full distribution modeling
Strategies to minimize experimental size
Adding covariate and uncontrolled factors
Life or repeated measures experiments
Disallowed combinations (nested DOEs)
Split Plot designs
Adding dummy variables
Blocking designs
Mixtures in custom designs
Setting constraints in a DOE

Response Surface Designs

Special Topics in DOE (optional)
Supersaturated designs
Strip plot designs