Lunch & Learn Live Webinar Series

Mixture Designs: Design of Experiments in Finding The Optimal Mix of Components

Bass Masri

Date: 21 October 2021
Time: 12:00 p.m. Sydney | 2:00 p.m. Wellington
Duration: 1 Hour
Presenter: Bass Masri
 Zoom Live Webinar

Carrying out experiments to achieve an optimal recipe mix made up of several components or ingredients? Having interdependent factors where each factor is dependent upon the settings of other factor?

Mixture designs are a type of experiment where the product under investigation is made up of multiple components or ingredients. When you change the proportion of one ingredient, the proportion of one or more other ingredients must also change to compensate.

The goal is often to optimise the proportions of the ingredients such that certain desired properties of the resulting mixture are achieved.

In this webinar, you'll learn how to design a mixture experiment, fit a model and examine the impact of changing factor settings. You will gain an understanding of:

  • Mixture design fundamentals.
  • How to construct a simple mixture design.
  • How to create and interpret ternary plots.
  • The model optimization process.
  • How to simulate and assess the impact of settings variations.

Our Sr. Systems Engineer will be using a plastic formulation case study to demonstrate how you could easily design your own mixture experiment in JMP!

Who should attend?

Researchers, scientists, R&D or product engineers from the manufacturing or consumer packaged goods sectors. Also suitable to anyone interested in how to design a mixture experiment to optimise results.

Contact us at:

Register now to attend online.

  Please subscribe me to JMP Newswire, the monthly newsletter for JMP users.
  Yes, you may send me emails occasionally about JMP products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.

JMP is a division of SAS Institute Inc. Your information will be handled in accordance with the SAS Privacy Statement.


Back to Top