Article | 10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden | Control Chart Limits Setting when Data are Auto-Correlated

Title:
Control Chart Limits Setting when Data are Auto-Correlated
Author:
Darja Noskievičová: VÅ B-Technical University of Ostrava, Faculty of Metallurgy and Material Engineering, Department of Quality Management, Czech Republic
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Year:
2007
Conference:
10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden
Issue:
026
Article no.:
120
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2008-02-15
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


Correctly set control limits in control charts is one of the main conditions for successful application of statistical process control and for meeting its basic goal; i.e. verifying statistical stability of the analysed process.

Problem of setting control limits in control charts is solved in many publications (from standards to articles and books). Algorithm of setting control limits in these publications does not distinguish between autocorrelated and nonautocorrelated data. It lies in excluding of subgroups that give the “out of control” signal from control limits computation (after revealing the existing assignable causes and realization of the corrective action). This algorithm is not wholly suitable for autocorrelated data.

This paper deals with the idea mentioned above in more detail and the proposal of methodology for setting control charts when data are autocorrelated will be applied to the selected parameter of the blast furnace process.

Keywords: Control chart; outliers analysis; setting control limits; time series analysis

10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden

Author:
Darja Noskievičová
Title:
Control Chart Limits Setting when Data are Auto-Correlated
References:

Box; G.E.P.; Jenkins; G.M.; Reinsel; G.L.; (1994); Time Series Analysis. Forecasting and Control; Prentice Hall; Englewood Cliffs; New Jersey.


Chang; I.; Tiao; G. C.; Chen; C.; (1988); “Estimation of Time Series Parameters in the Presence of Outliers”; Technometrics; 30; 193-204.


Liu; L.M.; (2006); Time series analysis and forecasting. Scientific Computing Associates; Corp.; Villa Park.


Noskievicová; D.; (2006); “The Analysis of Selected Blast Furnace Process Indicators using Box-Jenkins Methodology”; Report on the Subproject Solving in the Frame of the Research Project CEZ MSM 6198910019 Reduction of CO2 Production - DECOx Processes; VŠB-TUO; Ostrava. (In Czech)

10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden

Author:
Darja Noskievičová
Title:
Control Chart Limits Setting when Data are Auto-Correlated
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