A New Procedure to Monitor the Mean of a Quality Characteristic

Mehdi Kiani, John Panaretos and Stelios Psarakis

MPRA Paper from University Library of Munich, Germany

Abstract: The Shewhart, Bonferroni-adjustment and analysis of means (ANOM) control chart are typically applied to monitor the mean of a quality characteristic. The Shewhart and Bonferroni procedure are utilized to recognize special causes in production process, where the control limits are constructed by assuming normal distribution for known parameters (mean and standard deviation), and approximately normal distribution regarding to unknown parameters. The ANOM method is an alternative to the analysis of variance method. It can be used to establish the mean control charts by applying equicorrelated multivariate non-central t distribution. In this paper, we establish new control charts, in phases I and II monitoring, based on normal and t distributions having as a cause a known (or unknown) parameter (standard deviation). Our proposed methods are at least as effective as the classical Shewhart methods and have some advantages.

Keywords: Shewhart; Bonferroni-adjustment; Analysis of means; Average run length; False alarm probability (search for similar items in EconPapers)
JEL-codes: C10 (search for similar items in EconPapers)
Date: 2008
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (1)

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