Design of Experiments II (DOE II)

Enhance basic experimental practices with an advanced set of DOE tools for accelerated optimization of a process. Learn how to efficiently build upon results obtained from screening (e.g. fractional factorial) experiments. Advanced experimental designs necessary for optimizing processes are covered in detail.

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

Nesting and Blocking
Description and analysis of nested factors
Description of Blocking Variables
Designs with Blocking Variables
Split-Plot Designs

Optimzation
Multi-Level Designs
Central Composite Designs
Response Surface Methods

Missing Data
Preventing Missing Responses
Analyzing Incomplete Data Sets

Mixture Designs
Simple Lattice Designs and Models
Simplex Centroid Designs and Models

To request a quote, contact:
Elena O'Connor, On-site Programs
Phone: (734) 487-4926