Discovery of Orthogonal Main Effects Screening Designs for Mixed Level Factors (OML) for factor screening and cosmetic formulation optimization

[#1]

Following the introduction of DSD designs for efficient screening and factor optimization in 2011, Bradley Jones has
published in 2023 a new family of factorial designs to overcome the shortcomings of DSDs concerning the
management of multiple categorical factors at 2 levels.
This type of plan is compared to a classic screening plan and to DSD plans, and used in the context of screening of
important factors for the formulation of a cosmetic product.
The plan proves to be efficient for the identification of important factors, and allows to obtain quality models and
parsimonious for each of the answers.

Victor_Loreal.mp4

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[#2]

Here are the ressources listed in the JMP Journal at the end of the video:

• Presentation of OML designs
  Screening Designs for Continuous and Categorical Factors: Technometrics: Vol 67 , No 1 - Get Access 
  A Family of Orthogonal Main Effects Screening Designs for Mixed Level Factors (2... presentation by Bradley Jones 
  A Class of Saturated Mixed-Level Main Effects Designs for Even Numbers of Runs -... presentation by @Ryan_Lekivetz 
  Mixed-Level Screening Designs from JMP 18.1 Help
  
  
• Overview of screening designs
  A Short Guide to Screening Designs - How to Handle Many Factors in Our Designed Experiments (LinkedIn article by @Jonas_Rinne) 
  The Evolution of Screening designs (personal Medium article)
  𝗕𝗮𝘆𝗲𝘀𝗶𝗮𝗻 𝗗-𝗢𝗽𝘁𝗶𝗺𝗮𝗹 𝗗𝗲𝘀𝗶𝗴𝗻 𝗳𝗼𝗿 𝗦𝗰𝗿𝗲𝗲𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝘀 𝘄�... (personal LinkedIn post)
  
  
• Modeling platforms and options
  A Surprising Use of the Fit Definitive Screening Platform (2022-EU-45MP-1066) presentation by Bradley Jones 
  Overview of the Fit Two Level Screening Platform from JMP 18.1 Help
  Regression Model Assumptions | Introduction to Statistics | JMP

Looking forward to your feedbacks and comments !