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