Predictive Modeling of Pharmaceutical Unit Operations

Predictive Modeling of Pharmaceutical Unit Operations chronicles the progress this practice has made in the pharmaceutical industry in recent years. Modeling serves multiple purposes, not only enhancing process understanding, but also reducing experimentation and overall costs. Several process modeling tools have been used in the pharmaceutical industry, including DEM, FEM, CFD, population balance, and Monte Carlo, etc. Modeling plays an important role in the QbD paradigm that is supported heavily by Food and Drug Administration (FDA). Once a good model is established, it can be used to create a process design space with minimal experimentation. This book focuses on modeling techniques pertinent to pharmaceutical unit operations that are commonly used in drug development of solid dosage forms. Each individual chapter is dedicated to a single unit operation, starting with a short introduction to that unit operation that is then followed by a discussion of the techniques that have been successfully used to model that unit operation. Each chapter consists of multiple case studies where a certain model was applied successfully to a certain scenario in order to familiarize the reader with the application aspect of said model. Presents a unique collection of several modeling techniques used in pharmaceutical drug development and process scale-upincludes several case studies on modeling techniques and how they were used in real industrial situationsOffers a comprehensive modeling-focused discussion on each commonly used unit operation in solid dosage developmentCombines university and industrial personnel perspectives from well-known experts in the field