modeFRONTIER Design of Experiment (DOE)
Course Overview
This training course is designed to help modeFRONTIER users to expand their knowledge of Design of Experiments. This course offers the possibility to learn more about basic statistics and skill of experiment in the real world. The attendee will learn how to create a variety of different design of experiments using modeFRONTIER graphic user interface. Moreover the attendee will learn how to correctly analyze the resulting data and how to interpret graphical and statistical outcomes in order to optimize products.
Prerequisites
Getting started with modeFRONTIER or modeFRONTIER Fundamentals are recommended to get the best from this course.
Audience
The primary audience for this course includes new modeFRONTIER user who wants to have a complete and detailed explanation of all modeFRONTIER DOE capabilities.
Topics
- Experimental data import
- Usage and importance of DOE sequences
- Random and Sobol Sequences
- Monte Carlo and Latin Hypercube Sequences
- Full and Fractional Factorial Experiments
- Cubic Face Centered
- Box-Behnken
- Latin Square
- Taguchi methods
- Plackett Burman
- Optimal DOEs - Statistical analysis, main effects
At the end of the course, the attendee will be able to
- Import experimental data utilities
- Select between different DoE methods
- Explore the design space
- Analyze DOE results
- Basic Statistics on data
- Find critical variables that influence outcomes