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http://dx.doi.org/10.7232/JKIIE.2015.41.6.521

Design of Minimum and Maximum Control Charts under Weibull Distribution  

Jo, Eun-Kyung (Statistics Korea)
Lee, Minkoo (Department of Information and Statistics, Chungnam National University)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.41, no.6, 2015 , pp. 521-529 More about this Journal
Abstract
Statistical process control techniques have been greatly implemented in industries for improving product quality and saving production costs. As a primary tool among these techniques, control charts are widely used to detect the occurrence of assignable causes. In most works on the control charts it considered the problem of monitoring the mean and variance, and the quality characteristic of interest is normally distributed. In some situations monitoring of the minimum and maximum values is more important and the quality characteristic of interest is the Weibull distribution rather than a normal distribution. In this paper, we consider the statistical design of minimum and maximum control charts when the distribution of the quality characteristic of interest is Weibull. The proposed minimum and maximum control charts are applied to the wind data. The results of the application show that the proposed method is more effective than traditional methods.
Keywords
Weibull distribution; Minimum control chart; Maximum control chart;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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