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題名 Adaptive sampling interval cause-selecting control charts
作者 楊素芬
Yang, Su-Fen ; Su, Hui-Chun
關鍵詞 Adaptive sampling interval;Control charts;Dependent process steps;Adjusted average time to signal
日期 2007-02
上傳時間 19-十二月-2008 14:54:48 (UTC+8)
摘要 This article considers the statistical adaptive process control for two dependent process steps. We construct an adaptive sampling interval Z X control chart to monitor the quality variable produced by the first process step, and use the adaptive sampling interval Z e control chart to monitor the specific quality variable produced by the second process step. By using the proposed adaptive sampling interval control charts, we can quickly detect and distinguish which process step is out of control. The performance of the proposed adaptive sampling interval control charts is measured by the adjusted average time to signal (AATS), which was derived by a Markov chain approach, for an out-of-control process. An empirical automobile braking system example shows the application and the performance of the proposed adaptive sampling control charts in detecting shifts in process means. Some numerical results obtained demonstrated that the performance of the proposed adaptive sampling cause-selecting control charts outperforms the fixed sampling interval cause-selecting control charts.
關聯 The International Journal of Advanced Manufacturing Technology, 31(11/12), 1169-1180
資料類型 article
DOI http://dx.doi.org/10.1007/s00170-005-0288-2
dc.creator (作者) 楊素芬zh_TW
dc.creator (作者) Yang, Su-Fen ; Su, Hui-Chun-
dc.date (日期) 2007-02en_US
dc.date.accessioned 19-十二月-2008 14:54:48 (UTC+8)-
dc.date.available 19-十二月-2008 14:54:48 (UTC+8)-
dc.date.issued (上傳時間) 19-十二月-2008 14:54:48 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/18198-
dc.description.abstract (摘要) This article considers the statistical adaptive process control for two dependent process steps. We construct an adaptive sampling interval Z X control chart to monitor the quality variable produced by the first process step, and use the adaptive sampling interval Z e control chart to monitor the specific quality variable produced by the second process step. By using the proposed adaptive sampling interval control charts, we can quickly detect and distinguish which process step is out of control. The performance of the proposed adaptive sampling interval control charts is measured by the adjusted average time to signal (AATS), which was derived by a Markov chain approach, for an out-of-control process. An empirical automobile braking system example shows the application and the performance of the proposed adaptive sampling control charts in detecting shifts in process means. Some numerical results obtained demonstrated that the performance of the proposed adaptive sampling cause-selecting control charts outperforms the fixed sampling interval cause-selecting 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, 31(11/12), 1169-1180en_US
dc.subject (關鍵詞) Adaptive sampling interval;Control charts;Dependent process steps;Adjusted average time to signal-
dc.title (題名) Adaptive sampling interval cause-selecting control chartsen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/s00170-005-0288-2-
dc.doi.uri (DOI) http://dx.doi.org/10.1007/s00170-005-0288-2-