Optimizing Process 2016 - Conference about 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-AT-compliance4All.com
http://www.compliance4all.com/
Event Link : http://bit.ly/Design_of_Experiments
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