Paper Title:
DEWMA Control Chart for the Coefficient of Variation
  Abstract

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 shift in the magnitude of CV. The CV-EWMA (exponentially weighted moving average) control chart which was developed recently is effective in detecting a small shifts of CV. In this paper, we propose the CV-DEWMA control chart, combining the DEWMA (double exponentially weighted moving average) technique. We show that CV-DEWMA control chart perform better than CV-EWMA control chart in detecting small shifts when sample size n is larger than 5.

  Info
Periodical
Advanced Materials Research (Volumes 201-203)
Edited by
Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang
Pages
1682-1688
DOI
10.4028/www.scientific.net/AMR.201-203.1682
Citation
E. P. Hong, H. W. Kang, C. W. Kang, "DEWMA Control Chart for the Coefficient of Variation", Advanced Materials Research, Vols. 201-203, pp. 1682-1688, 2011
Online since
February 2011
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Price
$32.00
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