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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/18198

Title:	Adaptive sampling interval cause-selecting control charts
Authors:	楊素芬 Yang, Su-Fen;Su, Hui-Chun
Keywords:	Adaptive sampling interval;Control charts;Dependent process steps;Adjusted average time to signal
Date:	2007-02
Issue Date:	2008-12-19 14:54:48 (UTC+8)
Abstract:	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.
Relation:	The International Journal of Advanced Manufacturing Technology, 31(11/12), 1169-1180
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1007/s00170-005-0288-2
DOI:	10.1007/s00170-005-0288-2
Appears in Collections:	[統計學系] 期刊論文

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