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Manufacturing performance enhancement through multivariate statistical process control

Lookup NU author(s): Professor Elaine Martin, Emeritus Professor Julian Morris, Professor Costas Kiparissides

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Abstract

Multivariate statistical performance monitoring provides a diagnostic tool for the monitoring and detection of process malfunctions for continuous and batch manufacturing processes. The paper initially reviews the concept of process performance monitoring through an industrial application to a fluidized bed-reactor and a comprehensive simulation of a batch methyl methacrylate polymerization reactor. Finally some of the more recent work being carried out is described including the development of performance monitoring schemes from minimal process data and the development of generic models for the monitoring of multiple products, grades or recipes.

Publication metadata

Author(s): Martin EB, Morris AJ, Kiparissides C

Publication type: Article

Publication status: Published

Journal: Annual Reviews in Control

Year: 1999

Volume: 23

Issue: 1

Pages: 35-44

Print publication date: 01/01/1999

ISSN (print): 1367-5788

ISSN (electronic): 1872-9088

Publisher: Pergamon

URL: http://dx.doi.org/10.1016/S1367-5788(99)00005-X

DOI: 10.1016/S1367-5788(99)00005-X

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