Premium
Multivariate SPC for recipe preservation of batch processes
Author(s) -
Kim Youngil,
Adams Benjamin M.
Publication year - 2010
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.1053
Subject(s) - recipe , chart , control chart , statistics , statistical process control , autocorrelation , principal component analysis , computer science , process (computing) , correlation , shewhart individuals control chart , multivariate statistics , mathematics , data mining , ewma chart , chemistry , food science , operating system , geometry
The performances of the Hotelling's T 2 control chart and the squared prediction error control chart based on the multi‐way principal component analysis are evaluated for monitoring within batch process variation for the purpose of recipe preservation. A nonlinear model for simulated batch process data is provided. The model allows for cross correlation of error terms at a given time period and serial correlation of error terms across time periods. The performance characterizations of the two monitoring schemes are provided for a variety of levels of cross correlation and serial correlation. The impact of the time period at which process shifts occur is also investigated for the monitoring schemes. The T 2 control chart is recommended for the cases considered. Copyright © 2009 John Wiley & Sons, Ltd.