Design of Experiments (DOE) is a methodology that can be effective for general problem-solving, as well as for improving or optimizing product design and manufacturing processes. Specific applications of DOE include identifying proper design dimensions and tolerances, achieving robust designs, generating predictive math models that describe physical system behavior, and determining ideal manufacturing settings. This seminar utilizes hands-on activities to help you learn the criteria for running a DOE, the requirements and pre-work necessary prior to DOE execution, and how to select the appropriate designed experiment type to run. You will experience setting up, running, and analyzing the results of simple-to-intermediate complexity, Full Factorial, Partial Factorial, and Response Surface experiments utilizing manual methods as well as a hands-on computer tool that facilitates experimental design and data analysis. You will also receive an overview of Robust DOE, including the Taguchi DOE Method.
Participants will be given information on how to receive, install and configure a fully-functional 30-day trial version of MiniTab® for their use in class, and/or for their personal evaluation. While some computers will be available, attendees are encouraged to bring a laptop computer and/or a calculator to the seminar to provide additional hands-on time.
Note: Similar courses available on demand! Design of Experiments (DOE) for Engineers (PD530932) or Introduction to Design of Experiments (DOE) for Engineers (PD530932ON).
SAE Members: $1346.00 - $1346.00
You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.
"DOE expertise is a must have for engineers who deal with data all the time. Whether it's in a simulation or test, or identifying the factors which have the most influence on the experiment."
Sr. Project Engineer
Borg Warner Inc.
"Good course - I recommend every engineer attend this course!!"
Technical Specialist NVH
"This course helped me to develop a good understanding of the DOE method and to apply it to real-world applications."
Senior Research Associate
University of Windsor
"Time well spent away from the office. I recommend this course to all recent college graduates in engineering."
American Axle Manufacturing
"Kevin has a very strong grasp on this subject matter and his examples and exercises really enhance the learning process."
"Very insightful, it definitely helped me understand the different applications/uses of the DOE techniques."
Lead Engineer, EGR system PV&V
John Deere Power Systems
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