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題名 An approach to controlling two dependent process steps with autocorrelated observations
作者 楊素芬;Yang,C
Yang, Su-Fen;Yang, Chung-Ming
關鍵詞 Autocorrelated observations;Control charts;Process variation;Residuals
日期 2006-05
上傳時間 19-十二月-2008 14:54:39 (UTC+8)
關聯 The International Journal of Advanced Manufacturing Technology, 29(1/2), 170-177
描述 The 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.
資料類型 article
DOI http://dx.doi.org/10.1007/s00170-004-2490-z
dc.creator (作者) 楊素芬;Yang,Czh_TW
dc.creator (作者) Yang, Su-Fen;Yang, Chung-Ming-
dc.date (日期) 2006-05en_US
dc.date.accessioned 19-十二月-2008 14:54:39 (UTC+8)-
dc.date.available 19-十二月-2008 14:54:39 (UTC+8)-
dc.date.issued (上傳時間) 19-十二月-2008 14:54:39 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/18196-
dc.description (描述) The 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.format application/en_US
dc.language enen_US
dc.language en-USen_US
dc.language.iso en_US-
dc.relation (關聯) The International Journal of Advanced Manufacturing Technology, 29(1/2), 170-177en_US
dc.subject (關鍵詞) Autocorrelated observations;Control charts;Process variation;Residuals-
dc.title (題名) An approach to controlling two dependent process steps with autocorrelated observationsen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/s00170-004-2490-zen_US
dc.doi.uri (DOI) http://dx.doi.org/10.1007/s00170-004-2490-zen_US