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

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...

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Published inChemical Engineering in the Pharmaceutical Industry p. 1
Main Author Kourti, Theodora
Format Book Chapter
LanguageEnglish
Published Hoboken, NJ, USA John Wiley & Sons 2011
John Wiley & Sons, Inc
Subjects
Chemistry & Chemical Engineering
General References
latent variables, exploiting characteristics of process databases ‐ measurements on a large number of variables
multivariate statistical process control
pharmaceutical manufacturing ‐ role of multivariate analysis in design space, control strategy, process understanding, troubleshooting and optimization
Pharmaceuticals
Pharmaceuticals, Cosmetics & Toiletries
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Abstract 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
AbstractList 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
Author Ende David J. Am
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  organization: GlaxoSmithKline, Pharma Launch and Global Supply, Global Functions, UK
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Copyright © 2011 John Wiley & Sons, Inc.
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DOI 10.1002/9780470882221.ch44
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Snippet This chapter contains sections titled: Introduction The Nature of Process and Quality Data Latent Variable Methods for Twoway Matrices Multivariate Statistical...
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SubjectTerms Chemistry & Chemical Engineering
General References
latent variables, exploiting characteristics of process databases ‐ measurements on a large number of variables
multivariate statistical process control
pharmaceutical manufacturing ‐ role of multivariate analysis in design space, control strategy, process understanding, troubleshooting and optimization
Pharmaceuticals
Pharmaceuticals, Cosmetics & Toiletries
TableOfContents 44.1 Introduction 44.2 The Nature of Process and Quality Data 44.3 Latent Variable Methods for Two Way Matrices 44.4 Multivariate Statistical Process Control 44.5 Batch Process Monitoring 44.6 Multistage Operations: Multiblock Analysis 44.7 Process Control to Achieve Desired Product Quality 44.8 Other Applications of Latent Variable Methods 44.9 Quality by Design 44.10 Future Directions Acknowledgment References
Title Pharmaceutical Manufacturing: The Role of Multivariate Analysis in Design Space, Control Strategy, Process Understanding, Troubleshooting, and Optimization
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