An adaptive chart for monitoring the process mean and variance

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorIBGE
dc.creatorCosta, Antonio F. B.
dc.creatorDe Magalhaes, Maysa S.
dc.date2014-05-20T15:23:21Z
dc.date2014-05-20T15:23:21Z
dc.date2007-11-01
dc.identifierhttp://dx.doi.org/10.1002/qre.842
dc.identifierQuality and Reliability Engineering International. Chichester: John Wiley & Sons Ltd, v. 23, n. 7, p. 821-831, 2007.
dc.identifier0748-8017
dc.identifierhttp://hdl.handle.net/11449/34153
dc.identifier10.1002/qre.842
dc.identifierWOS:000250845100005
dc.descriptionTraditionally, an (X) over bar chart is used to control the process mean and an R chart is used to control the process variance. However, these charts are not sensitive to small changes in the process parameters. The adaptive ($) over bar and R charts might be considered if the aim is to detect small disturbances. Due to the statistical character of the joint (X) over bar and R charts with fixed or adaptive parameters, they are not reliable in identifing the nature of the disturbance, whether it is one that shifts the process mean, increases the process variance, or leads to a combination of both effects. In practice, the speed with which the control charts detect process changes may be more important than their ability in identifying the nature of the change. Under these circumstances, it seems to be advantageous to consider a single chart, based on only one statistic, to simultaneously monitor the process mean and variance. In this paper, we propose the adaptive non-central chi-square statistic chart. This new chart is more effective than the adaptive (X) over bar and R charts in detecting disturbances that shift the process mean, increase the process variance, or lead to a combination of both effects. Copyright (c) 2006 John Wiley & Sons, Ltd.
dc.descriptionUniv Estadual Paulista, FEG, BR-12516410 Guaratingueta, SP, Brazil
dc.descriptionIBGE, ENCE, BR-20231050 Rio de Janeiro, Brazil
dc.descriptionUniv Estadual Paulista, FEG, BR-12516410 Guaratingueta, SP, Brazil
dc.format821-831
dc.languageeng
dc.publisherWiley-Blackwell
dc.relationQuality and Reliability Engineering International
dc.relation68322
dc.relation229516
dc.relation1.604
dc.relation0,955
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectShewhart charts
dc.subjectAATS
dc.subjectadaptive charts
dc.subjectnon-central chi-square distribution
dc.subjectsingle charts to
dc.subjectcontrol the process mean and variance
dc.subjectjoint (X)over-bar and R charts
dc.titleAn adaptive chart for monitoring the process mean and variance
dc.typeArtigo


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