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Technometrics Volume 37, 1995 - Issue 1
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Original Articles

Multivariate SPC Charts for Monitoring Batch Processes

Paul Nomikos Department of Chemical Engineering, McMaster University, Hamilton, Ontario, L8S 4L7, Canada
&
John F. MacGregor Department of Chemical Engineering, McMaster University, Hamilton, Ontario, L8S 4L7, Canada
Pages 41-59 | Published online: 12 Mar 2012
 
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Abstract

The problem of using time-varying trajectory data measured on many process variables over the finite duration of a batch process is considered. Multiway principal-component analysis is used to compress the information contained in the data trajectories into low-dimensional spaces that describe the operation of past batches. This approach facilitates the analysis of operational and quality-control problems in past batches and allows for the development of multivariate statistical process control charts for on-line monitoring of the progress of new batches. Control limits for the proposed charts are developed using information from the historical reference distribution of past successful batches. The method is applied to data collected from an industrial batch polymerization reactor.

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