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).
By attending this seminar, you will be able to:
This seminar will benefit engineers, designers and quality professionals in research, design, development, testing and manufacturing who are interested or active in one or more of the applications listed above. Individuals should have an engineering degree or equivalent coursework in math, statistics and computers.
"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
You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.
Kevin Zielinski currently owns and operates Red Cedar Media LLC, a training and corporate communications consulting, design, development and delivery company based in Michigan. Previously, Kevin was Senior Applications Specialist for EDS (including General Motors/EDS and Hewlett Packard/EDS) specializing in technical training delivery, training consulting, courseware design and development, and e-Learning. He has designed, developed and delivered over 40 lecture- and web-based courses attended by General Motors and EDS employees worldwide. Mr. Zielinski has also served as Adjunct Professor for the Wayne State University College of Engineering and WSU/Focus:Hope for many years. His areas of expertise include: e-Learning design and development, Quality Tools and Methods (Design of Six Sigma, Robust Engineering, Design of Experiments (DOE), Statistical Tolerancing and GD&T); Design for Manufacturing and Assembly (DFMA); Engineering Economics; and Plant Floor Throughput Improvement. He has been an instructor for SAE Professional Development since 1990, and is a recipient of SAE's Forest R. McFarland Award (April 2005). He holds a bachelor's and master's degree in engineering from Wayne State University.