DESIGN OF EXPERIMENTS (DOE) FOR ENGINEERS WEB SEMINAR
“The best hands-on DOE seminar. I will be using these tools in my job starting next week.” Alexis Perez Lighting Application Engineer Federal Mogul Corporation
This course 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. You will also set-up and analyze Robust/Taguchi and Response Surface experiments utilizing computer software. LEARNING OBJECTIVES By connecting with this web seminar, you will be able to: • Determine when DOE is the correct tool to solve a given problem or issue • Select the appropriate DOE experiment type (DOE Goal) for a given application • Set up simple Full Factorial DOEs by hand, using cube plots • Set up and analyze any Full Factorial DOE using Minitab • Identify appropriate partial factorial design(s) based on one’s application • Set-up and analyze Partial Factorial DOEs, simple Robust Design (Taguchi) DOEs, and simple Response Surface DOEs using Minitab • Identify and execute the structured process steps recommended when executing a DOE project WHO SHOULD ATTEND Engineers involved in product design and/or optimization; process design and/or optimization, and all quality improvement efforts. CONTENT HIGHLIGHTS • What is DOE • Full Factorial Experiments using Cube Plots • Estimating How Much Experiment Data is Enough • Review of Methods for Determining ‘Significance’ • ANOVA and Regression Overview • Best Practice: The Problem Solving Process and the Structured DOE Process • How Confounding Occurs in a DOE, • When Robust/Taguchi DOE is Appropriate; How Robust/Taguchi DOE is Different • When Response Surface DOE is Appropriate; How Response Surface DOE is Different List:
I.D.# WB0932
SCHEDULE August 19-30, 2019 Live Online
FEES List:
$835 $752
Members:
SIX, 2-HOUR SESSIONS/1.2 CEUS
Get the complete course description and register: sae.org/learn/content/wb0932/
INTERESTED INAQUICKOVERVIEW? Consider the Introduction to Design of Experiments (DOE) for Engineers On Demand Course.
I.D.# PD530932ON
FEES List
$80 $72
Members:
.75-HOUR/.2 CEUS
Get more information: sae.org/learn/content/pd530932on/
INSTRUCTOR Kevin Zielinski Owner and Operator, Red Cedar Media, LLC
3 ways to get a no-obligation price quote to deliver a course to your company Call SAE Corporate Learning at +1.724.772.8529 | Fill out the online quote request at sae.org/corplearning Email us at Corplearn@sae.org
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