Design of Experiments (DOE) is an off line quality improvement methodology that dramatically improves industrial products and processes. Input factors are varied in a planned manner to optimize output responses with minimal variability. Participants learn the basic principles of DOE, and receive detailed guidance on how to implement the concepts both manually and with software. The required statistics are simplified and provided as needed so that students are not inundated with theory. Participants gain hands on experience with actual industrial examples, use of the Statapult (special catapult), Quincunx (bead board), and computer simulations.

This seminar is given in two days of  intensive training. 

Seminar Outline:

• What is DOE? Why Do a Designed Experiment? The Four Stages of Quality Improvement, Concepts, Problems With Interpreting Routine Operating Data, DOE vs. One Variable At A Time, Terminology, Types of Experimental Designs, Implementation
• Single Factor Experiments, Two Factor Factorial Design
• Calculating Main Effects an Interactions, Importance of Randomization, Industry Example. Video " Planned Experimentation"
  (above covered on first day)
• Three Factor Factorial Design, Graphical Interpretation of Effects and Interactions,
• Statistical Concepts, Determining Statistical Significance, Probability Plots, Quincunx (Bead Board) demonstration and exercise, Design and Analysis using software.
• Fractional Factorial Designs, Power and Economy, Defining Relation, Confounding, Resolution, Factor Assignment, Sequential Use of Fractional Designs, Statapult Exercise
• Screening Designs, Plackett Burman, Taguchi Arrays
  Blocking, Benefits, Blocking for Full Factorial Designs, Blocking for Fractional Factorial Designs
  Model Verification, Residuals Analysis, Analysis of Variance

Seminar Materials

Participants receive the Qualitran DOE Manual and the student version of the DOE KISS statistical software.

One copy of the text Understanding Industrial Designed Experiments, 3rd Edition, by S.R. Schmidt and R.G. Launsby. .is provided for the company library.

A response surface plot showing the results of a three level two factor experiment in only 9 runs.  Chemical process yield is on Y axis. Temperature and time on the X and Z axes.

Trainer: Les Galicinski, P. Eng.

Les Galicinski is president and founder of Qualitran Professional Services Inc. He has instructed thousands of managers, engineers, supervisors and others in quality methodology and techniques and has authored several SPC books. His background includes a B.Sc. in Electrical Engineering from Queen's University and a career with IBM, Xerox, and GE as a Product Engineer, Quality Engineer and Quality Assurance Manager. He has instructed courses in Quality Control, Management and SPC for Centennial College, Georgian College, Xerox, IBM, GE and as a private consultant. For the past twenty years, he has been president and chief consultant at Qualitran where he has serviced clients such as Motorolla, Mack Trucks, Eveready Battery Company, Lockheed Martin and the U.S. Navy. He has provided quality related training to hundreds of client companies. (See Client List)