2018 - 4-Hr Virtual Training: Introduction to Design of Experiments

Experiments will also be discussed.
Why Should You Attend:
Participants will gain a solid understanding of important concepts and methods in statistical experiments. Successful experiments allow the development of predictive models for the optimization of product designs or manufacturing processes. Several practical examples and case studies will be presented to illustrate the application of technical concepts. This webinar will prepare attendees to begin designing and conducting experiments. Attendees will also learn how to analyze the data from experiments to understand significant effects and develop predictive models utilized to optimize process behavior.
Design of Experiments has numerous applications, including:
Fast and Efficient Problem Solving (root cause determination)
Shortening R&D Efforts
Optimizing Product Designs
Optimizing Manufacturing Processes
Developing Product or Process Specifications
Improving Quality and/or Reliability
Learning Objectives:
Understand when and why to apply DOE (design of experiments)
Plan and conduct experiments in an effective and efficient manner
Identify and interpret significant factor effects and 2-factor interactions
Develop predictive models to explain and optimize process/product behavior
Check models for validity
Apply very efficient fractional factorial designs in screening experiments
Avoid common misapplications of DOE in practice
Areas Covered in the Webinar:
Introduction to Experimental Design
What is DOE?
Definitions and Concepts
Sequential Experimentation
When to Use DOE
Common Pitfalls in DOE
Steps for Planning, Implementing and Analyzing an Experiment
Case Study 1
Two Level Factorial Designs
Design Matrix and Calculation Matrix
Main and Interaction Effects
Testing for Statistical Significance
Interpreting Effects
Using Center Points
Developing Mathematical Models
Developing First Order Models
Residuals /Model Validation
Solving Models
Optimizing Responses
Case Study 2
Fractional Factorial Designs (Screening)
Structure of the Designs
Confounding/Aliasing
Resolution
Analysis of Fractional Factorials
Other Designs