Design of Experiments

The course covers both basic and advanced concepts for the design and analysis of experiments. The course requires 16 hours of instruction.

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.

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.

Prerequisites

There are no prerequisites for this course.

Section 1: Introduction to DOE

Section 2: Experimental Preparation

Section 3: Full Factorial Designs

Section 4: Screening Designs

Augment design

Section 5: 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 6: Response Surface Designs

Section 7: Special Topics In DOE (optional)

Supersaturated designs
Strip plot designs