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題名 相依製程上平均值和變異數過度調整之適應性管制(II)
其他題名 Adaptive Control for Over-Adjusted Means and Variances on Dependent Process Setps (II)
作者 楊素芬
貢獻者 政治大學統計系
行政院國家科學委員會
關鍵詞 數學
Control charts; dependent process steps; incorrect adjustment; Markov chain.
日期 2006
上傳時間 30-Aug-2012 09:58:50 (UTC+8)
摘要 The article considers the variable process control scheme for two dependent process steps with incorrect adjustment. Incorrect adjustment of a process may result in shifts in process mean, ultimately affecting the quality of products. We construct variable sampling interval (VSI) Z X EWMA and Ze EWMA control charts to effectively monitor the quality variable produced by the first process step with incorrect djustment and the quality variable produced by the second process step with incorrect djustment. The performance of the proposed VSI control charts is measured by the adjusted average time to signal (AATS) derived using a Markov chain approach. An example of the automobile braking
     system with incorrect adjustment shows the pplication and performance of the proposed VSI Z X EWMA and Ze EWMA control charts in detecting shifts in process mean. Furthermore, the performance of the proposed VSI Z X EWMA and Ze EWMA control charts and the fixed sampling interval (FSI) Z X EWMA and Ze EWMA control harts are compared by numerical analysis results. These demonstrate that the former is much faster in detecting small and median shifts in mean. The ptimum VSI Z X EWMA and Ze EWMA control charts are also proposed using optimization technique when quality engineers cannot specify the values of variable sampling intervals. It has been found that the optimum VSI Z X EWMA and Ze EWMA control charts always work better than the VSI Z X EWMA
     and Ze EWMA control charts.
關聯 應用研究
學術補助
研究期間:9508 ~ 9607
研究經費:614仟元
資料類型 report
dc.contributor 政治大學統計系en_US
dc.contributor 行政院國家科學委員會en_US
dc.creator (作者) 楊素芬zh_TW
dc.date (日期) 2006en_US
dc.date.accessioned 30-Aug-2012 09:58:50 (UTC+8)-
dc.date.available 30-Aug-2012 09:58:50 (UTC+8)-
dc.date.issued (上傳時間) 30-Aug-2012 09:58:50 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/53384-
dc.description.abstract (摘要) The article considers the variable process control scheme for two dependent process steps with incorrect adjustment. Incorrect adjustment of a process may result in shifts in process mean, ultimately affecting the quality of products. We construct variable sampling interval (VSI) Z X EWMA and Ze EWMA control charts to effectively monitor the quality variable produced by the first process step with incorrect djustment and the quality variable produced by the second process step with incorrect djustment. The performance of the proposed VSI control charts is measured by the adjusted average time to signal (AATS) derived using a Markov chain approach. An example of the automobile braking
     system with incorrect adjustment shows the pplication and performance of the proposed VSI Z X EWMA and Ze EWMA control charts in detecting shifts in process mean. Furthermore, the performance of the proposed VSI Z X EWMA and Ze EWMA control charts and the fixed sampling interval (FSI) Z X EWMA and Ze EWMA control harts are compared by numerical analysis results. These demonstrate that the former is much faster in detecting small and median shifts in mean. The ptimum VSI Z X EWMA and Ze EWMA control charts are also proposed using optimization technique when quality engineers cannot specify the values of variable sampling intervals. It has been found that the optimum VSI Z X EWMA and Ze EWMA control charts always work better than the VSI Z X EWMA
     and Ze EWMA control charts.
-
dc.language.iso en_US-
dc.relation (關聯) 應用研究en_US
dc.relation (關聯) 學術補助en_US
dc.relation (關聯) 研究期間:9508 ~ 9607en_US
dc.relation (關聯) 研究經費:614仟元en_US
dc.subject (關鍵詞) 數學en_US
dc.subject (關鍵詞) Control charts; dependent process steps; incorrect adjustment; Markov chain.-
dc.title (題名) 相依製程上平均值和變異數過度調整之適應性管制(II)zh_TW
dc.title.alternative (其他題名) Adaptive Control for Over-Adjusted Means and Variances on Dependent Process Setps (II)en_US
dc.type (資料類型) reporten