
Strategies for Formulations Development: A Step-by-Step Guide Using JMP
Author(s): Ronald D. Snee PhD (Author), Roger W. Hoerl PhD (Author)
- Publisher: SAS Institute
- Publication Date: 8 Sept. 2016
- Edition: Revised ed.
- Language: English
- Print length: 294 pages
- ISBN-10: 1629596701
- ISBN-13: 9781629596709
Book Description
With this book you will be able to:
- Approach the development process from a strategic viewpoint with the overall end result in mind.
- Design screening experiments to identify components that are most important to the performance of the formulation.
- Design optimization experiments to identify the maximum response in the design space.
- Analyze both screening and optimization experiments using graphical and numerical methods.
- Optimize multiple criteria, such as the quality, cost, and performance of product formulations.
- Design and analyze formulation studies that involve both formulation components and process variables using methods that reduce the required experimentation by up to 50%. Linking dynamic graphics with powerful statistics, JMP helps construct a visually compelling narrative to interactively share findings that are coherent and actionable by colleagues and decision makers. Using this book, you can take advantage of computer generated experiment designs when classical designs do not suffice, given the physical and economic constraints of the experiential environment.
Strategies for Formulations Development: A Step-by-Step Guide Using JMP is unique because it provides formulation scientists with the essential information they need in order to successfully conduct formulation studies in the chemical, biotech, and pharmaceutical industries.
Editorial Reviews
About the Author
Roger W. Hoerl, PhD, is the Brate-Peschel Assistant Professor of Statistics at Union College in Schenectady, NY. Previously he led the Applied Statistics Lab at GE Global Research. While at GE he led a team of statisticians, applied mathematicians, and computational financial analysts who worked on some of GEa (TM)s most challenging research problems, such as developing personalized medicine protocols, enhancing the reliability of aircraft engines, and management of risk for a half a trillion dollar portfolio. He is a Fellow of the American Statistical Association and the American Society for Quality, and he has been elected to the International Statistical Institute and the International Academy for Quality.
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