Overview
Design of Experiments (DoE) is a method that allows scientists and engineers to study and understand the relationship between multiple factors or input variables on responses or output variables.
This instructor-led, live training (online or onsite) is aimed at scientists who wish to learn and use the Design of Experiments (DoE) to understand the cause-and-effect relationship between multiple factors.
By the end of this training, participants will be able to:
- Understand the advantages of designed experiments over other approaches.
- Understand the cause-and-effect relationships and interactions between factors.
- Learn the best practices and guidelines for conducting successful experimentation.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Requirements
- Knowledge and experience in conducting experimentations
Audience
- Scientists
- Engineers
Course Outline
Introduction to Design of Experiments (DoE)
Understanding the Types of Experimental Designs
Designing Factorial Experiments
Analyzing a Replicated and an Unreplicated Full Factorial
Screening Experiments
Fractional Factorial Designs
Custom Screening Designs
Overview of Response Surface Designs
Analyzing Response Surface Experiments
Creating Custom Response Surface Designs
Performing a Sequential Experimentation
Understanding the DoE Guidelines
Defining the Problem and Objectives
Preparing to Perform the Experiment
Best Practices
Summary and Next Steps