2018 - Optimizing Process Behavior Using Design of Experiments
Date2018-01-05
Deadline2018-01-04
VenueFremont, USA - United States
KeywordsDesign Of Experiments; Fda quality management; Quality system fda
Topics/Call fo Papers
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:
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
Demonstrating Reliability with zero or few failures
Developing Predictive Models
Who Will Benefit:
Operations/Production Managers
Quality Assurance Managers
Process or Manufacturing Engineers or Managers
Product Design Personnel
Scientists
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.
Event Fee: One Dial-in One Attendee Price: US$150.00
Contact Detail:
Compliance4All DBA NetZealous,
Phone: +1-800-447-9407
Email: support-AT-compliance4All.com
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:
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
Demonstrating Reliability with zero or few failures
Developing Predictive Models
Who Will Benefit:
Operations/Production Managers
Quality Assurance Managers
Process or Manufacturing Engineers or Managers
Product Design Personnel
Scientists
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.
Event Fee: One Dial-in One Attendee Price: US$150.00
Contact Detail:
Compliance4All DBA NetZealous,
Phone: +1-800-447-9407
Email: support-AT-compliance4All.com
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Last modified: 2017-11-27 14:29:49