Introduction to Design of Experiments

Virtual sessions on Design of Experiments

Design of Experiments is a great tool to help you cut design and development times while assuring that designs are effectively and efficiently characterized.

Virtually or in person, we offer multiple options to help you get up to speed in Design of Experiments. We offer practical and hands-on training and consulting. Classes can be taught using JMP, Minitab, or DOE Wisdom Software.

  • Scientist, engineers, managers, technicians. Anyone who wants to quickly attain an applications based understanding of Design of Experiments.

    DOE sessions will enable new engineers and scientists to begin real DOE’s on their processes and technologies. Design of Experiments is the premier tool for characterization of products and processes.

  • In-house or online. Our classes can be customized to fit your needs, weather they be virtually or in person.

  • In person sessions can be customized to fit your schedule. We can offer you 2 or 4 day sessions.

    The online option will be taught 2 hours per day (Monday - Thursday) for two consecutive weeks for a total of 8 sessions.

  • Introductions, Goals, Expectations

    The Need for Experimental Design in Industry

    Why Engineers, Technicians and Scientists Need to Use These Powerful Approaches

    Examples of Applications from Your Industry

    What is an Experimental Design?

    What are the Benefits?

    Objectives:
    Troubleshooting
    Modeling
    Screening
    Robustness
    Mixtures

    Why Conduct an Orthogonal Array?

    Basic concepts: Effects, Interactions, Orthogonal arrays

    Graphical Analysis using examples and software:
    Pareto Charts
    Main Effects
    Interaction Plots
    Contour Plots
    RSM Plots

    Screening Approaches vs. Modeling Approaches

    Sample Size

    Checklist of Detailed Planning Questions

    Why Confirmation Trials are Important

    Blending Experimental Design with Knowledge of the Technology

    Common Pitfalls for Those New to Design of Experiments

    Analysis for Variance Reduction

    Full-Factorials, Fractional-Factorials, Taguchi Arrays

    Mixed and Multi-level Orthogonal Arrays

    ANOVA and MLR Using Software

    Numerous Exercises with Software

    Rules of Thumb regarding Set-up and Analysis

    Multiple Response Co-optimization Using Desirability Functions

    Planning Your Experimental Application, Getting Started with Successful Applications!

    Exercise: Catapult

Enrollment Details

Format: Live Online/Virtual

Submit your interest form (LEFT) with the class date. We will contact you with additional enrollment details.

Cost: $900.00 per participant.

Includes:

  • Detailed Participants Guide

  • eBook Engineering Today’s Designed Experiments

Available Sessions:

  • Please contact us for available dates.