Design of Experiments

Course Description

This course is specifically designed to meet the analytical needs of those individuals working within FDA regulated industries. The course covers both basic and advanced concepts for the design and analysis of experiments. The course requires 16 hours of instruction.

Attendees

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

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Prerequisites

Engineering Statistics and Data Analysis is recommended.

Course Objectives

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

Detailed Course Outline

Section I: Introduction to DOE

Section II: Experimental Preparation

Section III: Full Factorial Designs

Section IV: Screening Designs

Augment design

Section V: 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

Section VI: Response Surface Designs

Section VII: Special Topics In DOE (optional)

Supersaturated designs
Strip plot designs