This web content discusses the concept of fractional factorial design and its application in reducing the number of experiments needed to analyze multiple parameters. The author uses the example of making brownies with three parameters (A, B, and C) to explain the process. They demonstrate how to create a fractional factorial experiment table and determine the aliasing structure through algebraic calculations. The author also emphasizes the importance of resolution in experimental design and provides examples of different resolution levels. The content concludes by mentioning the limitation of binary parameters and hints at exploring Plackett-Burman for factors with multiple levels. Overall, the content provides a comprehensive explanation of fractional factorial design and its implementation.
https://blog.demofox.org/2023/10/17/fractional-factorial-experiment-design-when-there-are-too-many-experiments-to-do/