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Multivariate statistical process control; example from the chemical process industry
Author(s) -
Morud Tordis E.
Publication year - 1996
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/(sici)1099-128x(199609)10:5/6<669::aid-cem467>3.0.co;2-q
Subject(s) - multivariate statistics , statistical process control , multivariate analysis , process (computing) , computer science , control chart , statistics , control limits , data mining , mathematics , operating system
This paper describes an application of multivariate statistical methods with the aim to improve the production of titanium dioxide at Kronos Titan AS. Multivariate statistical methods were used to make a PLS model of one process stage. This model was then used to predict the product quality as a function of the chemical variables analysed in the laboratory. New process data were plotted using multivariate charts. An example shows trends and deviations from the normal operating region. Probable reasons for the deviations are indicated. © 1996 by John Wiley & Sons, Ltd.