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Fractional Factorial Experiments for Screening Studies (MFGO76Z)

Presented by: Steven Wachs
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Pre Recorded Webinar
60 minutes
  •  Fri, October 27, 2017
Event Description

Using Fractional Factorial Design Experiments to Optimize Your Manufacturing Processes

Experimentation is frequently performed using trial and error approaches which are extremely inefficient and rarely lead to optimal solutions. Furthermore, when the effect of multiple variables on an outcome (response) needs to be understood, “one-factor-at-a-time” trials are often performed. Not only is this approach inefficient, it inhibits the  understanding and modeling of how multiple variables interact to jointly affect a response.

Statistically-based design of experiments (DOE) provides a methodology for optimally developing process understanding via experimentation. DOE has numerous applications, including fast and efficient problem solving (root cause determination), shortening of R&D efforts, optimizing product designs and manufacturing processes, developing product or process specifications, and improving quality and/or reliability.

Join this session with expert speaker Steven Wachs who will focus on the use of fractional factorial experiments which are invaluable when a large number of factors must be investigated. This session will review the key concepts behind design of experiments, along with the strategy to utilize sequential experiments to most efficiently understand and model a process. The session will emphasize on fractional factorial studies which are useful in the screening phase of experimentation. Steven will introduce several important techniques in experimental design (such as replication, blocking, and randomization) and will provide a case study involving optimizing a manufacturing process with multiple responses.

Session Highlights

  • Motivation for structured experimentation (DOE)
  • DOE approach / methodology
  • Fractional factorial experimental designs
  • Design resolution and choosing an appropriate fraction
  • Other DOE techniques
  • Developing predictive models
  • Case study

Who Should Attend

  • Product development personnel
  • Quality personnel
  • Manufacturing personnel
  • Lab personnel
  • R&D personnel
About Our Speaker(s)

Steven Wachs | Reliability Analysis SpeakerSteven Wachs
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.... More info

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    Event Title: Fractional Factorial Experiments for Screening Studies
    Presenter(s): Steven Wachs

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