Design of Experiments (DOE) Training - Classical Experimental Skills
Classical Experiments are the most basic experimental designs. The classical approach is based on the pioneering work of Sir Ronald Fisher, who applied design of experiment techniques to the field of agriculture as early as the 1930s. Full and Fractional Factorial designs are part of “classical” design of experiments.
A Design of Experiment consists of intentionally changing the inputs to a process in order to observe the corresponding changes in the outputs. Thus, a design of experiment (DOE) is a scientific approach which allows the researcher to better understand a process and to determine how the inputs affect the results or outputs.
Who should attend this seminar?
It is particularly well suited for product designers and engineers. Manufacturing engineers, quality engineers, and other production persons will find it very useful as well. Managers of these functions will benefit greatly. This is a 16 hour seminar for a maximum of 24 participants. All course material and a certificate of completion are provided.
Benefits:
When product and service designs or process improvements are carefully planned and results verified, the payoff can be:
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Surpassed customer expectations |
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Higher performance |
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Greater yields |
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Improved cycle times |
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Reduced costs downstream |
Practical Skills for Participants:
Your team will be able to put this practical skill to work immediately by
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Understanding Basic and Advanced Experimental Techniques |
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Setting up, running, and analyzing basic and advanced experiments |
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Applying Experimental techniques to a work related problem |
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Presenting results of experiments to management |
Your team will learn and practice:
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Full and fractional factorial design of experiments |
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Examples using Design-Expert Ò software |
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Apply skills to a work related and in class project |
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Presenting results of DOE in a concise
written and oral report |
Your Experimental Skills 2-Day Seminar Workbook Contents:
I. Overview of Experimental Skills
| What is a Design of Experiment |
| The Role of the Experimenter |
| Five Steps to Successful Experiments |
II. Basic Experimental Techniques
| One-Factor-at-a-Time |
| Graphical |
| 2 X 2 Matrix (22) |
III. Advanced Experimental Techniques
| Full Factorial |
| ANOVA |
| Fractional Factorial |
IV. Computer Aided Experiments
V. Reporting Results of Experiments
VI. Presenting Results of Team Projects
This course material can be customized with your work examples.
