When it comes to formulation experimentation, it is essential to have a well-defined set of objectives – and a high-quality data set. These conditions form the foundation for authors Ronald Snee and Roger Hoerl as they explore best practices for constructing a model to provide invaluable insight into formulation systems.
In this chapter, you will learn how to identify which formulations or blends to test, how many tests to run, and how best to diagnose the experimental environment. And with the author's detailed road map, you will broaden your understanding of the steps required to achieve meaningful formulation knowledge.