Advanced Design of Experiments - Manufacturing Quality Control Software - Because your profit is on the bottom line...

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



>>Review course dates and pricing or register online for advanced training
 

Get Started

  • Download a free trial of WinSPC
  • Get a web demo of WinSPC and find out if it is right for you
  • Call 1-866-4WINSPC or email us at This email address is being protected from spam bots, you need Javascript enabled to view it
Quality Control Products SPC Software Applications Why Use WinSPC? SPC Information