學術產出-期刊論文

文章檢視/開啟

書目匯出

Google ScholarTM

政大圖書館

引文資訊

TAIR相關學術產出

題名 Effects of imprecise measurement on the two dependent processes control for the autocorrelated observations
作者 楊素芬;Chung-Ming Yang
貢獻者 統計學系
關鍵詞 Autocorrelated observations;Cause-selecting ;control chart;Dependent processes; Measurement error variation
日期 2005-09
上傳時間 19-十二月-2008 14:54:35 (UTC+8)
摘要 The observations from the process output are always assumed to be independent when using a control chart to monitor a process. However, for many processes the observations are autocorrelated and including the measurement error due to the measurement instrument. This autocorrelation and measurement error can have a significant effect on the performance of the process control. This paper considers the problem of monitoring the mean of a quality characteristic X on the first process, and the mean of a quality characteristic Y on the second process, in which the observations X can be modeled as an ARMA model and observations Y can be modeled as an transfer function of X since the state of the second process is dependent on the state of the first process. To distinguish and maintain the state of the two dependent processes with measurement errors, the Shewhart control chart of residuals and the cause-selecting control chart, based on residuals, are proposed. The performance of the proposed control charts is evaluated by the rate of true or false alarms. By numerical analysis, it shows that the performance of the proposed control charts is significantly influenced by the variation of measurement errors. The application of the proposed control charts is illustrated by a numerical example .
關聯 The International Journal of Advanced Manufacturing Technology, 26(5/6),623-630
資料類型 article
DOI http://dx.doi.org/10.1007/s00170-004-2011-0
dc.contributor 統計學系-
dc.creator (作者) 楊素芬;Chung-Ming Yangzh_TW
dc.date (日期) 2005-09en_US
dc.date.accessioned 19-十二月-2008 14:54:35 (UTC+8)-
dc.date.available 19-十二月-2008 14:54:35 (UTC+8)-
dc.date.issued (上傳時間) 19-十二月-2008 14:54:35 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/18195-
dc.description.abstract (摘要) The observations from the process output are always assumed to be independent when using a control chart to monitor a process. However, for many processes the observations are autocorrelated and including the measurement error due to the measurement instrument. This autocorrelation and measurement error can have a significant effect on the performance of the process control. This paper considers the problem of monitoring the mean of a quality characteristic X on the first process, and the mean of a quality characteristic Y on the second process, in which the observations X can be modeled as an ARMA model and observations Y can be modeled as an transfer function of X since the state of the second process is dependent on the state of the first process. To distinguish and maintain the state of the two dependent processes with measurement errors, the Shewhart control chart of residuals and the cause-selecting control chart, based on residuals, are proposed. The performance of the proposed control charts is evaluated by the rate of true or false alarms. By numerical analysis, it shows that the performance of the proposed control charts is significantly influenced by the variation of measurement errors. The application of the proposed control charts is illustrated by a numerical example .-
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, 26(5/6),623-630en_US
dc.subject (關鍵詞) Autocorrelated observations;Cause-selecting ;control chart;Dependent processes; Measurement error variation-
dc.title (題名) Effects of imprecise measurement on the two dependent processes control for the autocorrelated observationsen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/s00170-004-2011-0en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1007/s00170-004-2011-0en_US