Extension of CV-GWMA Control Chart with Fast Initial Response Feature

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Abstract:

The control chart is widely used statistical process control (SPC) tool that searches for assignable cause of variation and detects any change of process. When the production run is short and process parameters change frequently, it is difficult to monitor the process using traditional control charts. In such a case, the coefficient of variation (CV) is very useful for monitoring the process variability. The CV control chart, however, is not sensitive at small shifts in the magnitude of CV. The CV-EWMA (exponentially weighted moving average), the CV-DEWMA (double exponentially weighted moving average) and the CV-GWMA (generally weighted moving average) control chart which were developed recently is effective in detecting a small shifts of CV. The CV-GWMA control chart shows better performance than the EWMA or DEWMA control charts in detecting small shifts of the process. In this paper, we propose an FIR (Fast initial response) CV-GWMA control chart to improve the sensitivity of a CV-GWMA control chart at process start-up or out-of-control process. Moreover, we show the results of the performance study of FIR CV-GWMA control chart by comparing with CV-DEWMA and CV-GWMA control chart.

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/asl.2012.4100

Publication date: July 1, 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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