Webinar on Modeling and Optimizing Process Behavior using Design of Experiments

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.

These include experiments appropriate for screening, optimization, mixtures/formulations, etc. Several important techniques in experimental design (such as replication, blocking, and randomization) are introduced. A Case Study involving optimizing a manufacturing process with multiple responses is presented.
Design of Experiments has numerous applications, including:

• Fast and Efficient Problem Solving (root cause determination)
• Shortening R&D Efforts
• Optimizing Product Designs
• Optimizing Manufacturing Processes
• Developing Product or Process Specifications
• Improving Quality and/or Reliability

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 LinkedIn Like us – https://www.linkedin.com/company/compliance4all-trainings Twitter Follow us – https://twitter.com/compliance4all Facebook Like us – https://www.facebook.com/Compliance4all