Short Course Description

Introduction to the Design of Experiments (DOE)

Design Course Description

Design of Experiments is a set of statistical methodologies that increase the amount of insights learned by conducting a pattern of tests. This hands-on course will focus on experimental design methodologies and techniques.

Who Should Attend

This course is for engineers and scientists with some statistical training who want a fresh perspective about designing experiments.

Prerequisites

Familiarity with MS Excel and basic statistical methods.

How You'll Benefit From This Course

    Design
  • Plan-Do-Study-Act: organizing for successful experimentation
  • Factors, Levels and models
  • Why designed experiments are so powerful
  • Full factorial designs
  • Screening designs
  • Method of steepest ascent
  • Optimal designs & Supersaturated designs (time permitting)

Course Topics

  • Introduction
  • Experiments with One Factor
  • Experiments with Two Factors
  • Multi-Factor Case Studies

Course Fee:
US $600/$700*		 Course Format:
Computer		 Class Limit:
40

Instructor:

Wayne Levin Wayne Levin

Predictum Management Sciences

Wayne Levin is a professional engineer, consultant and trainer in Six Sigma who brings enthusiasm to the task. Wayne has worked extensively with a variety of industries in consulting, training and supportive roles for Six Sigma including automotive, semi-conductor, consumer products and bio-sciences.

Wayne comfortably deals with questions and concerns with staff at all levels. He provides important leadership advice as well as technical assistance and direction during the initiation and deployment of Six Sigma. He's seen a lot over his 15 years of training and consulting in Statistical Process Control (SPC), Design of Experiments (DOE), Measurement Systems Analysis (MSA), Six Sigma, as well as Project Management and Deming's approach to management.

Wayne recognizes that you cannot impart knowledge on those who are not motivated.

To that end, Wayne goes the extra mile in his training by developing and deploying innovative learning tools in the form of JMP-based dynamic illustrations in his training sessions. With these tools, students grasp sophisticated statistical concepts more readily putting them to effective use with greater confidence. This is part of Wayne's overall strategy to activate learning and make it stimulating, even fun.

Wayne graduated with a bachelor's degree in Industrial Engineering from the University of Toronto and a master's degree in Engineering from the University of Waterloo with an emphasis on statistical methods. Wayne is a Six Sigma Master Black Belt and has been a JMP instructor for almost 10 years and a JMP user since Version 3.

* higher fee applies to those who are not ALA members