Advanced Design of Experiments

Course Overview

This course builds on the fundamental DOE concepts and experimental designs learned in the Design of Experiments course. This course teaches participants how to efficiently build upon results obtained from screening (e.g. fractional factorial) experiments. More advanced experimental designs necessary for optimizing processes are covered in detail. It is assumed that participants have taken Design of Experiments (or equivalent).

Seminar Content

Review of DOE Basics

Review of Definitions
Review of Factorial Designs
Review of Design Resolution

Unreplicated Designs

Identifying Significant Effects
Review of Model Development

Reflected Designs

Reflected Designs to Improve Resolution
Mathematical Model Development

Multi-level Designs & Analysis of Variance (ANOVA)

Fixed Effect Model
Random Effects Model
Mixed Effects Model

Nesting & Blocking

Description of Nested Factors
Analysis of Nested Factors
Description of Blocking Variables
Designs with Blocking Variables
Split-Plot Designs

Optimization

Multi-Level Designs
Central Composite Designs
Response Surface Methods

Missing Data

Preventing Missing Responses
Analyzing Incomplete Data Sets

Mixture Designs

Simplex Lattice Designs and Models
Simplex Centroid Designs and Models

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