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Developer Tutorial: Using JMP to Create Orthogonal Mixed-level Screening Designs

Published on ‎11-07-2024 03:32 PM by Community Manager Community Manager | Updated on ‎11-07-2024 05:42 PM

Orthogonal Mixed-level Screening Designs introduced in JMP 18 are useful for JMP DOE users who need to test the effectiveness of many interventions simultaneously in a single experiment with minimal runs. See how to use JMP 18 orthogonal mixed-level screening designs to mix continuous and two-level categorical factors and use special constructions for mixed-level screening designs where continuous factors have some levels at the center. The three-level factors must be continuous, and the two-level factors can be either continuous or categorical. Additionally, these designs supply substantial bias protection of the main effects estimates due to active two-factor interactions.

 

The video includes a discussion with Tom Donnelly  @tom_donnelly  (~ time 49:24) about JMP design choices related to orthogonal mixed-level designs.  Tom's slides are included in the attachments to this video post.

 

Developer Tutorial - Using JMP to Create Orthogonal Mixed Level Screening Designs
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      (view in My Videos)

      See how to:

      • Find the designs in JMP using DOE->Classical->Factor Screening->Screening Design path
      • Understand the motivation for Orthogonal Mixed-Leve Designs
        • Main effects screening primary goal
        • Mix of three-level and two-level factors
        • Three-level factors are continuous (we’re not looking for balance)
        • Almost as many factors as runs (saturated, main effects screening), to 3/4 run size
        • DSD-like, but with more 2-level factors
      • Understand and view demo of Method/Option 3, where n is a multiple of 16
      • Understand and view demo of Method/Option 2, where n is a multiple of 8
      • Understand and view demo of Method/Option 1, where n is a multiple of 2
      • Delve into issues
        • Screening important factors, DSD too expensive, not all 3-levels
        • Detecting LARGE quadratics
        • Determining how much to go after quadratics

       

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