Formulation chemists and engineers, along with their research managers, have long known the difficult nature of formulation problems. This book is a manual to help them to identify key issues, design efficient experiments, and develop math models to resolve conflicting objectives. Specific solved examples, co-authored by chemists, show how well these methods work on industrial-strength problems and document the power and efficiency of computer aided formulation.
This book is the first one to combine techniques of operations researching decision science, and statistics to solve formulation problems. Readers will appreciate its chapters on experimental design, which are easy to read and enjoyable.Author’s Note on Text
Contributors
Chapter 1
The Formulation Problem
Introduction
Basic Principles of Formulating
Many Ingredients
Measuring Product Quality
Conflicting Goals
Additional Challenges
Identifying Experimental Variables
Implicit Formula and Process Constraints
Alternate Forms of Independent Variables
Controlling the Effects of Background Noise
Approaches to Formulation
The Artsy Approach
The Modeling-Graphical Approach
The Math-Programming Approach
Interactive Goal Programming
Prioritizing Goals
Math-Programming Format
Computer Aided Formulation
Expert Systems
Other Expertise Needed
Implementation
Summary
Definitions
Bibliography
Chapter 2
The Experimental Process
Introduction