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Webinar on Modeling and Optimizing Process Behavior using Design of Experiments

 
  April 20, 2016  
     
 
Compliance4All, Online Event
2016-05-09


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
 
 
Organized by: Event Manager
Invited Speakers: 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. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Mr. Wachs regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide. 
 
Deadline for Abstracts: 2016-05-08
 
Registration:
Contact Detail:

Compliance4All DBA NetZealous,
Phone: +1-800-447-9407
Email: support@compliance4All.com
http://www.compliance4all.com/
E-mail: support@compliance4All.com
 
   
 
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