Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/18196
DC FieldValueLanguage
dc.creator楊素芬;Yang,Czh_TW
dc.creatorYang, Su-Fen;Yang, Chung-Ming-
dc.date2006-05en_US
dc.date.accessioned2008-12-19T06:54:39Z-
dc.date.available2008-12-19T06:54:39Z-
dc.date.issued2008-12-19T06:54:39Z-
dc.identifier.urihttps://nccur.lib.nccu.edu.tw/handle/140.119/18196-
dc.descriptionThe observations from the process output are always assumed independent when using a control chart to monitor a process. However, for many processes the process observations are autocorrelated. This autocorrelation can have a significant effect on the performance of the control chart. This paper considers the problem of monitoring the mean of a quality characteristic X on the first process step and the mean of a quality characteristic Y on the second process step, in which the observations X can be modeled as an AR(1) model and observations Y can be modeled as a transfer function of X since the state of the second process step is dependent on the state of the first process step. To effectively distinguish and maintain the state of the two dependent process steps, the Shewhart control chart of residual and the cause-selecting control chart are proposed. The proposed control charts’ performance is measured by the rate of alarm on the proposed charts. From numerical analysis, it shows that the performance of the proposed control charts is much better than the misused Hotelling T2 control chart and the individual Shewhart X and Y control charts.-
dc.formatapplication/en_US
dc.languageenen_US
dc.languageen-USen_US
dc.language.isoen_US-
dc.relationThe International Journal of Advanced Manufacturing Technology, 29(1/2), 170-177en_US
dc.subjectAutocorrelated observations;Control charts;Process variation;Residuals-
dc.titleAn approach to controlling two dependent process steps with autocorrelated observationsen_US
dc.typearticleen
dc.identifier.doi10.1007/s00170-004-2490-zen_US
dc.doi.urihttp://dx.doi.org/10.1007/s00170-004-2490-zen_US
item.languageiso639-1en_US-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
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