Engineering Tools & Methods – P18307051

DESIGN OF EXPERIMENTS (DOE) FOR ENGINEERS

“Good course – I recommend every engineer attend this course!!.”

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. LEARNING OBJECTIVES By attending this seminar, you will be able to: • Decide whether to run a DOE to solve a problem or optimize a system • Set-Up a Full Factorial DOE Test Matrix, in both Randomized and Blocked forms • Analyze and Interpret Full Factorial DOE Results using ANOVA, (when relevant) Regression, and Graphical methods • Set-Up a Fractional (Partial) Factorial DOE, using the Confounding Principle • Analyze and Interpret the results of a Fractional Factorial DOE • Recognize the main principles and benefits of Robust Design DOE • Decidewhen a Response Surface DOE should be run • Select the appropriate Response Surface Design (either Plackett-Burman, Box-Behnken, Central Composite, or D-Optimal) • Interpret Response Surface Outputs • Utilize the MiniTab TM Software tool to analyze data WHO SHOULD ATTEND This seminar will benefit engineers, designers and quality professionals in research, design, development, testing and manufacturing. CONTENT HIGHLIGHTS • Team Problem Solving Exercise Using Engineering Judgment • What is DOE? • DOE Requirements: Before You Can Run an Experiment • Fractional (Partial) Factorial Experiments • Robust Design Experiments (Overview) • Response Surface Modeling INSTRUCTOR Kevin Zielinski Owner and Operator, Red Cedar Media, LLC • Full Factorial Experiments • DOE Statistical Analysis

Irfan Bhatti Technical Specialist NVH Wolverine

I.D.# C0406

SCHEDULE February 25-26, 2019 Troy, Michigan June 24-25, 2019 Troy, Michigan November 21-22, 2019 Troy, Michigan

FEES List:

$1,495 $1,346

Members:

TWO-DAYS/1.3 CEUS

Get the complete course description and register: sae.org/learn/content/c0406/

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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