TY - JOUR N2 - Statistical Process Control (SPC) based on the well known Shewhart control charts, is widely used in contemporary manufacturing industry, including many foundries. However, the classic SPC methods require that the measured quantities, e.g. process or product parameters, are not auto-correlated, i.e. their current values do not depend on the preceding ones. For the processes which do not obey this assumption the Special Cause Control (SCC) charts were proposed, utilizing the residual data obtained from the time-series analysis. In the present paper the results of application of SCC charts to a green sand processing system are presented. The tests, made on real industrial data collected in a big iron foundry, were aimed at the comparison of occurrences of out-of-control signals detected in the original data with those appeared in the residual data. It was found that application of the SCC charts reduces numbers of the signals in almost all cases It is concluded that it can be helpful in avoiding false signals, i.e. resulting from predictable factors. L1 - http://journals.pan.pl/Content/88840/PDF/11_paper.pdf L2 - http://journals.pan.pl/Content/88840 PY - 2015 IS - No 4 DO - 10.1515/afe-2015-0079 KW - Quality management KW - Application of information technology to the foundry industry KW - Statistical process control KW - Time series analysis KW - Special cause control charts A1 - Perzyk, M. A1 - Rodziewicz, A. PB - The Katowice Branch of the Polish Academy of Sciences DA - 2015[2015.01.01 AD - 2015.12.31 AD] T1 - Application of Special Cause Control Charts to Green Sand Process UR - http://journals.pan.pl/dlibra/publication/edition/88840 T2 - Archives of Foundry Engineering ER -