Strategies for Formulations Development: A Step-by-step Guide Using Jmp

✍ Scribed by Ronald Snee; Roger Hoerl

• Publisher: SAS Institute
• Year: 2016
• Tongue: English
• Leaves: 294
• Category: Library

✦ Synopsis

This book is based on the authors' significant practical experience partnering with scientists to develop strategies to accelerate the formulation (mixtures) development process. The authors not only explain the most important methods used to design and analyze formulation experiments, but they also present overall strategies to enhance both the efficiency and effectiveness of the development process.

✦ Table of Contents

Contents
Preface
Overview
Our Experiences with Formulations
How to Learn Formulation Experimentation with the Use of the Computer
Tips and Traps – Success Factors
Acknowledgments
References
About This Book
Purpose
Is This Book for You?
Prerequisites
Scope of This Book
About the Examples
Additional Help
Keep in Touch
About These Authors
Chapter 1: Introduction to Formulations Development
Overview
1.1 Examples of Formulations
1.2 How Formulation Experiments are Different
1.3 Formulation Case Studies
1.4 Summary and Looking Forward
1.5 References
Chapter 2: Basics of Experimentation and Response Surface Methodology
Overview
2.1 Fundamentals of Good Experimentation
2.2 Diagnosis of the Experimental Environment
2.3 Experimentation Strategy and the Evolution of the Experimental Environment
2.4 Roadmap for Experimenting with Formulations
2.5 Summary and Looking Forward
2.6 References
Chapter 3: Experimental Designs for Formulations
Overview
3.1 Geometry of the Experimental Region
3.2 Basic Simplex Designs
3.3 Screening Designs
3.4 Response Surface Designs
3.5 Summary and Looking Forward
3.6 References
Chapter 4: Modeling Formulation Data
Overview
4.1 The Model Building Process
4.2 Summary Statistics and Basic Plots
4.3 Basic Formulation Models and Interpretation of Coefficients
4.4 Model Evaluation and Criticism
4.5 Residual Analysis
4.6 Transformation of Variables
4.7 Models with More Than Three Components
4.8 Summary and Looking Forward
4.9 References
Chapter 5: Screening Formulation Components
Overview
5.1 Purpose of Screening Experiments
5.2 Screening Concepts for Formulations
5.3 Simplex Screening Designs
5.4 Graphical Analysis of Simplex-Screening Designs
5.5 After the Screening Design
5.6 Estimation of the Experimental Variation
5.7 Summary and Looking Forward
5.8 References
Chapter 6: Experiments with Single and Multiple Component Constraints
Overview
6.1 Component Constraints
6.2 Components with Lower Bounds
6.3 Three-Component Example
6.4 Computation of the Extreme Vertices
6.5 Midpoints of Long Edges
6.6 Sustained Release Tablet Development - Three Components
6.7 Four-Component Flare Experiment
6.8 Graphical Display of a Four-Component Formulation Space
6.9 Identification of Clusters of Vertices
6.10 Construction of Extreme Vertices Designs for Quadratic Formulation Models
6.11 Designs for Formulation Systems with Multicomponent Constraints
6.12 Sustained Release Tablet Formulation Study
6.13 Summary and Looking Forward
6.14 References
Chapter 7: Screening Constrained Formulation Systems
Overview
7.1 Strategy for Screening Formulations
7.2 A Formulation Screening Case Study
7.3 Blending Model and Design Considerations
7.4 Analysis: Estimation of Component Effects
7.5 Formulation Robustness
7.6 XVERT Algorithm for Computing Subsets of Extreme Vertices
7.7 Summary and Looking Forward
7.8 References
Chapter 8: Response Surface Modeling with Constrained Systems
Overview
8.1 Design and Analysis Strategy for Response Surface Methodology
8.2 Plastic Part Optimization Study
8.3 Quadratic Blending Model Design Considerations
8.4 Example – Plastic Part Formulation
8.5 Example – Glass Formulation Optimization
8.6 Using the XVERT Algorithm to Create Designs for Quadratic Models
8.7 How to Use Computer-Aided Design of Experiments
8.8 Using JMP Custom Design
8.9 Blocking Formulation Experiments
8.10 Summary and Looking Forward
8.11 References
Chapter 9: Experiments Involving Formulation and Process Variables
Overview
9.1 Introduction
9.2 Additive and Interactive Models
9.3 Designs for Formulations with Process Variables
9.4 The Option of Non-Linear Models
9.5 A Recommended Strategy
9.6 An Illustration Using the Fish Patty Data
9.7 Summary and Looking Forward
9.8 References
Chapter 10: Additional and Advanced Topics
Overview
10.1 Model Simplification
10.2 More Advanced Model Forms
10.3 Response Optimization
10.4 Handling Multiple Responses
10.5 Multicollinearity in Formulation Models
10.6 Summary
10.7 References
Index