A new procedure for monitoring the range and standard deviation of a quality characteristic
AbstractThe Shewhart and the Bonferroni-adjustment R and S chart are usually applied to monitor the range and the standard deviation of a quality characteristic. These charts are used to recognize the process variability of a quality characteristic. The control limits of these charts are constructed on the assumption that the population follows approximately the normal distribution with the standard deviation parameter known or unknown. In this article, we establish two new charts based approximately on the normal distribution. The constant values needed to construct the new control limits are dependent on the sample group size (k) and the sample subgroup size (n). Additionally, the unknown standard deviation for the proposed approaches is estimated by a uniformly minimum variance unbiased estimator (UMVUE). This estimator has variance less than that of the estimator used in the Shewhart and Bonferroni approach. The proposed approaches in the case of the unknown standard deviation, give out-of-control average run length slightly less than the Shewhart approach and considerably less than the Bonferroni-adjustment approach.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 9067.
Date of creation: 2008
Date of revision:
Shewhart; Bonferroni-adjustment; Average run length; R chart; S chart;
Other versions of this item:
- M. Kiani & J. Panaretos & S. Psarakis, 2010. "A new procedure for monitoring the range and standard deviation of a quality characteristic," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(1), pages 1-24, January.
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-06-21 (All new papers)
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