Paper Title:
CV Control Chart Using GWMA Technique
  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 shifts in the magnitude of CV. This study suggest the CV-GWMA(generally weighted moving average) control chart, combining the GWMA technique, which shows better performance than the EWMA(exponentially weighted moving average) or DEWMA(double exponentially weighted moving average) technique in detecting small shifts of the process. Through a performance evaluation, the proposed control chart showed more excellent performance than the existing CV-EWMA control chart or the CV-DEWMA control chart in detecting small shifts in CV.

  Info
Periodical
Chapter
Chapter 2: Modeling, Analysis and Simulation of Manufacturing Processes
Edited by
Prasad Yarlagadda, Yun-Hae Kim, Zhijiu Ai and Xiaodong Zhang
Pages
247-254
DOI
10.4028/www.scientific.net/AMR.337.247
Citation
E. P. Hong, H. W. Kang, C. W. Kang, J. W. Baik, "CV Control Chart Using GWMA Technique", Advanced Materials Research, Vol. 337, pp. 247-254, 2011
Online since
September 2011
Export
Price
$32.00
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