This course is designed to help scientists and engineers plan and conduct experiments and analyze the data to develop predictive models used to optimize processes and products and solve complex problems. DOE is an extremely efficient method to understand which variables (and interactions) affect key outcomes and allows the development of mathematical models used to optimize process and product performance. The models also provide an understanding of the impact of variability in controllable and uncontrollable factors on important responses. The concepts behind DOE are covered along with some effective types of screening experiments.

Date : 12th May 2016 to 13th May 2016

Place : United States, Philadelphia, pennsylvania

Website :http://www.mentorhealth.com/control/globalseminars/~product_id=200061SEMINAR?risk-analysis-DOE-Philadelphia

Contact Person:Event Manager

Description:

This course is designed to help scientists and engineers plan and conduct experiments and analyze the data to develop predictive models used to optimize processes and products and solve complex problems. DOE is an extremely efficient method to understand which variables (and interactions) affect key outcomes and allows the development of mathematical models used to optimize process and product performance. The models also provide an understanding of the impact of variability in controllable and uncontrollable factors on important responses. The concepts behind DOE are covered along with some effective types of screening experiments.

This course is designed to help scientists and engineers plan and conduct experiments and analyze the data to develop predictive models used to optimize processes and products and solve complex problems. DOE is an extremely efficient method to understand which variables (and interactions) affect key outcomes and allows the development of mathematical models used to optimize process and product performance. The models also provide an understanding of the impact of variability in controllable and uncontrollable factors on important responses. The concepts behind DOE are covered along with some effective types of screening experiments. will be held in Philadelphia, pennsylvania,United States on date 2016-05-13

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Deadline for abstracts/proposals : 11th May 2016

Keynote Speakers : Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve 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. Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve q

Conference Highlights :Scientists Product and Process Engineers Design Engineers Quality Engineers Personnel involved in product development and validation Laboratory Personnel Manufacturing/Operations Personnel Process Improvement Personnel

Venue :Philadelphia, Pennsylvania, United States

Check the event website for more details.