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Impact of Special Causes on EWMA Feedback Process Adjustment  

이재준 (인하대학교 통계학과)
전상표 (남서울대학교 교양학과)
이종선 (인하대학교 통계학과)
Publication Information
Journal of Korean Society for Quality Management / v.31, no.2, 2003 , pp. 183-193 More about this Journal
Abstract
A special cause producing temporary deviation in the underlying process can influence on process adjustment in responsive feedback control system. In this paper, the impact of special causes on the EWMA(Exponentially Weighted Moving Average) forecasts and the process adjustment that is based on the EWMA forecasts are derived. For some special causes with patterned type of contamination, the influence of the causes on the output process are explicitly investigated. A data set, contaminated by a special cause of level shift, is analyzed to evaluate the impact numerically.
Keywords
Process Adjustment; Responsive Feedback Control; Special Cause;
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1 Box, G. E. P., Coleman, D. E., and Baxley, R., Jr. (1997), 'A Comparison of Statistical Process Control and Engineering Process Control,' Journal of Quality Technology, Vol. 29, No. 2, pp. 128-130
2 Jiang, W., Tsui, K-L, and Woodall,W. H. (2000), A New SPCMonitoring Method: The ARMAChart, Technometrics, Vol. 42, No. 4,399-410   DOI   ScienceOn
3 Box, G. E. P. and Kramer, T.(1992), 'Statistical Process Monitoringand Feedback Adjustment-A Discussion,' Technometrics, Vol. 34,pp. 251-285   DOI   ScienceOn
4 Zhang, N. F. (1998), A StatisticalControl Chart for Stationary ProcessData, Technometrics, Vol. 40, No. 1,24-38   DOI   ScienceOn
5 Box, G. E. P., Jenkins, G. M., andReinsel, G. C. (1994), Time SeriesAnalysis, Forecasting, and Control, 3rded., Prentice Hall, Englewood Cliffs,NJ
6 Bruce, A. G. and Martin, R. D.(1989), 'Leave-k-Out Diagnostic forTime Series (with Discussion),' Journalof the Royal Statistical Society, SeriesB, Vol. 51, pp. 363-424
7 Cho, SinsuP, Ryu, Gui Yeol, Park, B.U., and Lee, J. J. (1993), 'OutlierDetection Diagnostic based onInterpolation Method in AutoregressiveModels' Journal of the Korean Statistical Society. Vol. 22, No. 2, 283-306
8 Crowder, S. V., Hawkins, D. M.,Reynold M. R. JR., and Yashchin, E(1997), 'Process Control andStatistical Inference', Journal of Quality Technology, Vol. 29, No. 2,pp. 134-139
9 Chen, C. and Liu, L.-M. (1993),'Forecasting Time Series withOutliers', Journal of Forecasting, Vol.12, pp. 12-35
10 Tucker, W. T., Faltin, F. W., andVander Wiel, S. A. (1993), 'Algorithmic Statistical Process Control: AnElaboration,' Technometrics, Vol. 35,pp. 363-375   DOI   ScienceOn
11 Tsay, R. S. (1986), 'Time SeriesModel Specification in the Presence ofOutliers,' Journal of Amencan Statistical Association, Vol. 81, pp.131-141
12 Ledolter, J. (1989), 'The Effect ofAdditive Outliers on the Forecastsfrom ARIMA models' International Journal of Forecasting, Vol. 5, pp.231-240   DOI   ScienceOn
13 Box, G. E. P. and Lucceno, A.(1997). Statistical Control : By Monitoring and Feedback Adjustment,John wiley & Sons, New York
14 Lee, Jae June (1994), 'Detection ofLocal Structural Changes in TimeSeries,' The Korean Journal of Applied Statistics, Vol. 7, No. 2, pp.299-311
15 Alwan, L. C. and Roberts, H. V.(1988), 'Time-Series Modeling forStatistical Process Control', Journal of Business & Economic Statistics, Vol.6, No.1, pp. 87-95   DOI   ScienceOn
16 Atienza, O. O., Tang, L. C., andAng, B. W. (1998), 'A SPCProcedure for Detecting Level Shiftsof Autocorrelated Processes', Journalof Quality Technology, Vol. 30, No. 4,pp. 340-351
17 Baxley, R.V., Jr.(1994), 'Applicationof the EWMA for AlgorithmicStatistical Process Control,' Quality Engineering, Vol. 7, pp. 397-418   DOI   ScienceOn