Webinar on Modeling and Optimizing Process Behavior using Design of Experiments

Event Details

Time: May 9, 2016 from 10am to 11:15am
Location: Online Event
Street: 161 Mission Falls Lane, Suite 216
City/Town: Fremont
Website or Map: http://bit.ly/Design_of_Exper…
Phone: 18004479407
Event Type: webinar
Organized By: Adam Fleming
Latest Activity: Mar 29, 2016

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Event Description

Overview:

This webinar will review the key concepts behind Design of Experiments. A strategy for utilizing sequential experiments to most efficiently understand and model a process is presented. Many common types of experiments and their applications are presented.

Why should you Attend: Learning objectives

Learn a methodology to perform experiments in an optimal fashion
Review the common types of experimental designs and important techniques
Develop predictive models to describe the effects that variables have on one or more responses
Utilize predictive models to develop optimal solutions

Areas Covered in the Session:

Motivation for Structured Experimentation (DOE)
DOE Approach / Methodology
Types of Experimental Designs and their Applications
DOE Techniques
Developing Predictive Models
Using Models to Develop Optimal Solutions
Case Study

Who Will Benefit:

Operations / Production Managers
Quality Assurance Managers
Process or Manufacturing Engineers or Managers
Product Design Personnel
Scientists
Research & Development personnel

Speaker Profile:

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. He has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control. Mr. Wachs is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity.

Contact Detail:

Compliance4All DBA NetZealous,
Phone: +1-800-447-9407
Email: support@compliance4All.com
http://www.compliance4all.com/
Event Link : http://bit.ly/Design_of_Experiments

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