Conference about Modeling and Optimizing Process Behavior using Design of Experiments

Website http://bit.ly/Design_of_Experiments | Edit Freely

Category software for designing, central composite designing, optimal designing experiment

Deadline: May 08, 2016 | Date: May 09, 2016

Venue/Country: Online Event, U.S.A

Updated: 2016-04-12 18:53:48 (GMT+9)

Call For Papers - CFP

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. 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.

Contact Detail:

Compliance4All DBA NetZealous,

Phone: +1-800-447-9407

Email: supportcompliance4All.com

http://www.compliance4all.com/

Event Link : http://bit.ly/Design_of_Experiments

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