Design of Experiments (DOE) I: Introduction to DOE

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Design of Experiments (DOE) allows calculation of the equations that relate output(s) and the variability of output(s) to the input variable levels. Learn the techniques for planning studies in which the inputs to a system/process can be varied and the outputs observed. Explore efficient planning and analysis methods for determining which inputs have statistically significant effects on outputs and output variability, including analysis of variance, full and fractional factorial experiments, randomization, robust design and sensitivity analysis.

Prerequisites

Recommended

Who Should Attend

Engineers, technicians and managers who want to learn the techniques for designing experiments

How You Will Benefit

Course Outline

  1. The need for designed experiments
    • Basic principles
    • Hypothesis test and inference
    • Experimental error and models
    • Precision of estimates
    • Randomization
    • Replication and sample size
    • Blocking to improve precision
  2. Comparing several treatment means
    • One-way analysis of variance
    • Fixed model
    • Multiple comparisons
    • Model diagnostic checking
    • Variance components
    • The random model
  3. Randomized block and Latin square design
    • Randomized blocks
    • Multiple comparisons
    • Model diagnostics checking
    • The Latin square
  4. Factorial experiments
    • Main effects and interactions
    • The advantage of factorials
    • Two factors, fixed model
    • Random and mixed models
    • More than two factors
    • Special case
    • The 2^k factorial design
  5. Blocking in the 2 design
    • Two or more blocks
    • Guidelines for the choice of a design
  6. Fractional replication of the 2^k design
    • The one-half fraction
    • The one-quarter fraction
    • Other fractions
    • Guidelines for the choice of a design
  7. Nested designs
    • The two-stage nested design
    • More than two stages
    • A design with nested and factorial factors
  8. Robust design
    • Control and noise variables
    • Quality loss and signal to noise ratios
    • Orthogonal array and interaction table
    • Variation reduction and process optimization
  9. Process control
    • Six sigma strategies
    • Variance control
    • Control of output means

Instructor

Dr. Steven (Flash) Gordon is the director of TEREC and the Orlando Field Office Manager for Georgia Tech Research Institute. He served over 26 years in uniform in the United States Air Force (USAF) in various assignments, including as an aircrew member and instructor in the F-111, Director of Air Operations Centers, Division Chief on the Air Staff, and Professor and Head of the Department of Mathematical Sciences at the USAF Academy. At the Academy, he taught pre-calculus, calculus I-III, linear algebra, probability and statistics, systems of differential equations, and design of experiments. He also served over 4 years as the Technical Director for the Air Force Agency for Modeling and Simulation. He has a BS in Mathematics from Marymount College of Kansas, MS in Human Development Counseling/Education from Peabody College of Vanderbilt University, MS in Industrial Engineering/Operations Research from Purdue University, and a PhD in Aeronautical and Astronautical Engineering from Purdue University. His PhD research topic was orbit determination and optimal control of Earth-Moon-Sun libration point spacecraft orbits, and this research was extended to include experimental design for libration orbit control cost excursions.

Continuing Education Credit

This program meets the criteria for the nationally accepted Continuing Education Unit (CEU). Each participant successfully completing this 3 day course will earn 2.1 CEUs. This course is a required course for the TEREC Test & Evaluation Certificate.

Course Schedule, Fees, and Location

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Registration

Registration for this course is done through the Georgia Tech Continuing Education Department. To register on-line, use the Continuing Education Information/Registration Page for this course. Once there, click on "Register." A phone number is provided for those who do not wish to register and pay on-line.

Last Updated January 5, 2015