|Design of Experiments (DOE) for Engineers Webinar|
|I.D. #||WB0932||Duration||12 Hours|
|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, but are not limited to, identifying root causes to quality or production problems, identifying optimized design and process settings, achieving robust designs, and generating predictive math models that describe physical system behavior. This competency-based webinar utilizes a blend of reading, discussion and hands-on to help you learn the requirements and pre-work necessary prior to DOE execution, how to select the appropriate designed experiment to run, DOE execution, and analysis of DOE results. You will experience setting up, running, and analyzing simple-to-intermediate complexity Full Factorial and Partial Factorial experiments both by hand and using computer software. You will also set-up and analyze Robust/Taguchi and Response Surface experiments utilizing computer software.
Each participant will receive a 30 day MinitabTM product trial copy for use in the webinar. Due to the nature of the webinar format, each participant will be expected to dedicate approximately one hour to complete "homework" and/or short reading assignments in preparation for each session.
Note: A similar course is available as a classroom seminar.
|By connecting with this webinar, you will be able to: |
|Who Should Attend|
|This webinar will benefit engineers involved in product design and/or optimization; process design and/or optimization; quality improvement efforts such as defect elimination, warranty avoidance or similar initiatives; and technicians, analysts and managers who support engineers in these efforts. This course has no specific course prerequisites. However, participants are expected to have some math background, that includes elementary statistics. Since the course includes demonstration and hands-on use of Minitab, participants should have some familiarity with Windows-based personal computer applications.|
|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. Mr. Zielinski 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.|
Test your PC and connection to see if it meets the minimum system requirements for the WebEx online training center before you register. Go to http://www.webex.com/lp/jointest/ and follow the onscreen instructions for "Join Meeting Test".
NOTE: The course presentation will be recorded and made available for 30 days to those who register by the deadline.
|"The best hands-on DOE seminar. I will be using these tools in my job starting next week."|
Lighting Application Engineer
Federal Mogul Corporation "Content was professionally delivered and our objectives were easily met!"
|Fees:||$810||SAE Members*:||$648 - $729|
| * The appropriate SAE Member discount will be applied through the Registration process. Discounts vary according to level of membership: Elite Member 20%; Premium Member 15%; Classic Member 10%|