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Mastering JMP®

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On-Demand Webinar

Designing Experiments to Optimize Manufacturing Materials Selection

Solution Path

See how designing experiments based on physical or chemical properties significantly minimizes the number of required experimental conditions and produces a model that can predict untested options. These efficient designs are based on QSAR (Quantitative Structure – Activity Relationship). This demo is based on a 2017 presentation by Silvio Miccio, Procter and Gamble.

Presenter: Bill Worley

Optimizing Materials Selection

See how to:

  • Compress information describing the option properties using Principal Components (variable reduction)
  • Model the material properties using Partial Least Squares and Generalized Regression
  • Find overall optimum characteristics - the most prominent dimensions of variation.
  • Identify physical available options closest to the calculated optimum solution

Watch Now 43:05

Resources

Journal and filesMiccio presentation from 2017 JMP Discovery Summit

On-Demand Webinars

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