The course is aimed at individuals who work with batch processes, who want to understand the sources of variation in batch processes and the impact that these variations may have on product quality, and who want to use the latent variable models for setting up batch monitoring schemes, for predicting and controlling product quality, and for optimizing and scaling-up batch processes. Throughout the course the methods and problems will all be illustrated with real industrial applications to batch processes in the chemical, biotechnology and pharmaceutical industries. Attendees will also be able to apply these methods to these industrial data sets in numerous workshops using software designed specifically for these batch problems. An introduction to the use of multivariate methods based on PCA and PLS is a prerequisite.
- Multivariate Analysis of Batch Processes (Advanced)
- Detailed Course Content: Mulitvariate Analysis of Batch Prosesses
- The Mulitvariate Analysis of Batch Processes course is offered over three days and wil cover topics on multivariate applications as presented by Professor John F. MacGregor and ProSensus staff. ProSensus, Inc. is a world leader in the development and use of multivariate data analysis methods for the analysis, monitoring and control of batch processes. Professor John F. MacGregor (Distinguished University Professor, McMaster University and President of ProSensus) is the developer of most of the modern multivariate data analysis methods for batch processes.
