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    Optimizing Process Behavior Using Design of Experiments

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    Website http://www.compliance4all.com/control/w_product/~product_id=501657LIVE?channel=ourglocal_Jan_2018_SE | Want to Edit it Edit Freely

    Category Design Of Experiments, DOE Techniques, product quality, fda quality management system, quality system fda, design of experiments research

    Deadline: January 04, 2018 | Date: January 05, 2018

    Venue/Country: Online, U.S.A

    Updated: 2017-11-29 15:24:30 (GMT+9)

    Call For Papers - CFP

    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: supportatcompliance4All.com


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.