Formulation Simplified : Finding the Sweet Spot through Design and Analysis of Experiments with Mixtures

Many chemists – especially those most brilliant in their field – fail to appreciate the power of planned experimentation. They dislike the mathematical aspects of statistical analysis. In addition, these otherwise very capable chemists also dismissed predictive models based only on empirical data. Ironically, in the hands of subject matter experts like these elite chemists, the statistical methods of mixture design and analysis provide the means for rapidly converging on optimal compositions. What differentiates Formulation Simplified from the standard statistical texts on mixture design is that the authors make the topic relatively easy and fun to read. They provide a whole new collection of insighful original studies that illustrate the essentials of mixture design and analysis. Solid industrial examples are offered as problems at the end of many chapters for those who are serious about trying new tools on their own. Statistical software to do the computations can be freely accessed via a web site developed in support of this book.

• Makes mixture design simple and fun—a refreshing approach that makes it stand out from any other texts on this subject.
• Shows, in very clear terms, how to design and set up mixture experiments and then analyze the results.
• Written for formulators by authors with a wealth of industrial experience. They are uniquely positioned to stay on point for the practical aspects while keeping to the correct on the statistical methods.
• Includes problems, practice experiments, a glossary of statistical symbols, and a glossary of terms

Preface

Chapter 1 : Getting Your Toe into Mixtures
Chapter 2 : Triangulating Your Region of Formulation
Chapter 3 : Simplex Lattice Design
Chapter 4 : Constrained Mixtures
Chapter 5 : Optimal Design
Chapter 6 : Multicomponent Linear Constraints
Chapter 7 : Multiple Response Optimization and Quality by Design
Chapter 8 : Mixture Screening
Chapter 9 : Mixture and Process, Amounts or Categorical Factors
Chapter 10 : Combining Mixture and Process Variables as Split Plots
Chapter 11 : Advanced Tools
Chapter 12 : Practical Aspects

Glossary
References
Index
About the Software