|Fulltext||0.14 MB||PDF (requires Acrobat Reader)||Previous | Next|
|Authors:||Darja Noskievicová: VŠB-Technical University of Ostrava, Faculty of Metallurgy and Material Engineering, Department of Quality Management, Czech Republic|
|Publication title:||Control Chart Limits Setting when Data are Auto-Correlated|
|Conference:||10th QMOD Conference. Quality Management and Organiqatinal Development. Our Dreams of Excellence; 18-20 June; 2007 in Helsingborg; Sweden|
|Publication type:||Abstract and Fulltext|
|Abstract:||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|
|No. of pages:||8|
|Series:||Linköping Electronic Conference Proceedings|
|Publisher:||Linköping University Electronic Press; Linköpings universitet|
|REFERENCE TO THIS PAGE |