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題名 Effects of Measurement Error on Process Signal Detection
作者 楊素芬
Yang,Su-Fen ; Yang,Chung-Ming ; Cheng, Ging-Yun
貢獻者 統計系
關鍵詞 Control Chart ; Measurement Error ; Signal Detection
日期 2012-11
上傳時間 10-十二月-2013 17:14:33 (UTC+8)
摘要 Many data comes from a process with variables having non-normal distributions. The commonly used Shewhart variable control charts which depend heavily on the normality assumption should not be applied here. Further, measurement error of an instrument or gauge is an important factor in industry that influences the outcome of a process. Incapability of the instrument or gauge would cause the observation measure deviates from the true value and consequently lead to a false discrimination between good and bad service quality and manufacturing parts. In this study, we propose a new EWMA control chart to monitor the exponentially distributed service time between consecutive events with the measurement error instead of monitoring the number of events in a given time interval. We showed that, in the case of the measurement error following a normal distribution, the performance of the EWMA-M chart is significantly affected. We suggest letting for keeping the chart with the same detection ability; otherwise, the chart’s detection ability would be much poor than the charts with no measurement errors.
關聯 Applied Mechanics and Materials, Vol.0 , 496-500
資料類型 article
DOI http://dx.doi.org/10.4028/www.scientific.net/AMM.263-266.496
dc.contributor 統計系en_US
dc.creator (作者) 楊素芬zh_TW
dc.creator (作者) Yang,Su-Fen ; Yang,Chung-Ming ; Cheng, Ging-Yunen_US
dc.date (日期) 2012-11en_US
dc.date.accessioned 10-十二月-2013 17:14:33 (UTC+8)-
dc.date.available 10-十二月-2013 17:14:33 (UTC+8)-
dc.date.issued (上傳時間) 10-十二月-2013 17:14:33 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/62346-
dc.description.abstract (摘要) Many data comes from a process with variables having non-normal distributions. The commonly used Shewhart variable control charts which depend heavily on the normality assumption should not be applied here. Further, measurement error of an instrument or gauge is an important factor in industry that influences the outcome of a process. Incapability of the instrument or gauge would cause the observation measure deviates from the true value and consequently lead to a false discrimination between good and bad service quality and manufacturing parts. In this study, we propose a new EWMA control chart to monitor the exponentially distributed service time between consecutive events with the measurement error instead of monitoring the number of events in a given time interval. We showed that, in the case of the measurement error following a normal distribution, the performance of the EWMA-M chart is significantly affected. We suggest letting for keeping the chart with the same detection ability; otherwise, the chart’s detection ability would be much poor than the charts with no measurement errors.en_US
dc.format.extent 105 bytes-
dc.format.mimetype text/html-
dc.language.iso en_US-
dc.relation (關聯) Applied Mechanics and Materials, Vol.0 , 496-500en_US
dc.subject (關鍵詞) Control Chart ; Measurement Error ; Signal Detectionen_US
dc.title (題名) Effects of Measurement Error on Process Signal Detectionen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.4028/www.scientific.net/AMM.263-266.496en_US
dc.doi.uri (DOI) http://dx.doi.org/10.4028/www.scientific.net/AMM.263-266.496en_US