Multivariate SPC Charts for Monitoring Batch Processes

1995/02/01 by Paul Nomikos, John F. MacGregor · 1,384 citations
Decision Sciences · Engineering · Mathematics · #Advanced Statistical Process Monitoring #Computer science #Control chart #EWMA chart #Fault Detection and Control Systems #Mathematics #Mineral Processing and Grinding #Multivariate analysis #Multivariate statistics #Process (computing) #Shewhart individuals control chart #Statistical process control #Statistics

paper · doi:10.1080/00401706.1995.10485888

published in Technometrics 37(1), 41-59 (Taylor & Francis)

openalex publication_date 1995/02/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/02

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 Control limits for the proposed charts are developed using information from the historical reference distribution of past successful batches.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.

Citations

• Control Procedures for Residuals Associated With Principal Component Analysis

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