44. Pharmaceutical Manufacturing: The Role of Multivariate Analysis in Design Space, Control Strategy, Process Understanding, Troubleshooting, and Optimization

  1. David J. am Ende
  1. Theodora Kourti

Published Online: 29 OCT 2010

DOI: 10.1002/9780470882221.ch44

Chemical Engineering in the Pharmaceutical Industry: R&D to Manufacturing

Chemical Engineering in the Pharmaceutical Industry: R&D to Manufacturing

How to Cite

Kourti, T. (2010) Pharmaceutical Manufacturing: The Role of Multivariate Analysis in Design Space, Control Strategy, Process Understanding, Troubleshooting, and Optimization, in Chemical Engineering in the Pharmaceutical Industry: R&D to Manufacturing (ed D. J. am Ende), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470882221.ch44

Editor Information

  1. Chemical R&D, Pfizer, Inc., Groton, CT, USA

Author Information

  1. GlaxoSmithKline, Pharma Launch and Global Supply, Global Functions, UK

Publication History

  1. Published Online: 29 OCT 2010
  2. Published Print: 29 NOV 2010

ISBN Information

Print ISBN: 9780470426692

Online ISBN: 9780470882221

SEARCH

Keywords:

  • pharmaceutical manufacturing - role of multivariate analysis in design space, control strategy, process understanding, troubleshooting and optimization;
  • latent variables, exploiting characteristics of process databases - measurements on a large number of variables;
  • multivariate statistical process control

Summary

This chapter contains sections titled:

  • Introduction

  • The Nature of Process and Quality Data

  • Latent Variable Methods for Twoway Matrices

  • Multivariate Statistical Process Control

  • Batch Process Monitoring

  • Multistage Operations: Multiblock Analysis

  • Process Control to Achieve Desired Product Quality

  • Other Applications of Latent Variable Methods

  • Quality by Design

  • Future Directions

  • Acknowledgment

  • References