A ROBUST SMOOTHING APPROACH TO STATISTICAL PROCESS-CONTROL

Authors
GRZNAR J BOOTH DE SEBASTIAN P
Citation
J. Grznar et al., A ROBUST SMOOTHING APPROACH TO STATISTICAL PROCESS-CONTROL, Journal of chemical information and computer sciences, 37(2), 1997, pp. 241-248
Citations number
40
Categorie Soggetti
Information Science & Library Science","Computer Application, Chemistry & Engineering","Computer Science Interdisciplinary Applications",Chemistry,"Computer Science Information Systems
Journal title
Journal of chemical information and computer sciences → ACNP
ISSN journal
00952338
Volume
37
Issue
2
Year of publication
1997
Pages
241 - 248
Database
ISI
SICI code
0095-2338(1997)37:2<241:ARSATS>2.0.ZU;2-W
Abstract
It has previously been shown that smoothing algorithms can provide the basis for methods to detect nuclear material losses and moreover can also provide a general approach to industrial statistical process cont rol. The present paper extends this result by showing that a set of ro bust smoothers also produces methods that can be used in statistical p rocess control. Further, it is shown that these smoothers are somewhat more sensitive to out of control points than those methods previously studied. The methods are successfully illustrated on chemical process data.