Making Control Charts More Effective by Time Series Analysis: Two Illustrative Applications
نویسندگان
چکیده
Two well known data sets are used in this article to show that practical procedures of statistical process control can be made more effective by drawing on ideas of time series analysis. In particular, time series plots, simple time series modeling, and outlier detection are found to be useful in identifying possible common and special causes in a process that are likely to be overlooked by traditional control charts and in avoiding false identifications of special causes. We also discuss the use of pattern tests in conjunction with control charts.
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