Mixture Design of Experiments
Statistical and Analytical Courses
Mixture Design of Experiments is specifically designed to meet the analytical needs of those individuals working within a variety of industries. Instruction covers all aspects of mixture design including pre-DOE, simplex lattice, centroid, screening and custom mixture designs. Presentation of the course material is designed for 8 hours of instruction.

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Mixture Design of Experiments is required for all scientists, engineers and quality professionals who actively work on all aspects of discovery, product and process development where the goal is to characterize, optimize and improve product and process performance.
Engineering Statistics and Data Analysis and Design of Experiments are recommended prerequisites for this course.
Course Objectives
  1. Apply the principles of robust design to Mixture Experiments.
  2. Design mixture experiments appropriate for the information of interest.
  3. Use and apply the structures of simplex and optimal designs for product and process development and problem solving.
  4. Ensure the mixture design is efficient
  5. Use regression techniques in order to analyze the results and make process/product improvements.
  6. Use JMP software to design and analyze experiments.
Detailed Course Outline
Section I: Introduction and Two Factor Mixture Designs
Experimental preparation and pre-DOE
Two Factor Mixture Designs
Section II: Simplex Lattice Designs
Section III: Simplex Centroid and ABCD Screening Designs
Simplex Centroid
ABCD Screening Designs
Section IV: Extreme Vertices Designs
Section V: Optimal Designs
Section VI: Custom Design