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題名 A New Chart for Monitoring Service Process Mean
作者 洪英超;楊素芬
Yang, Su-Fen ; Cheng,Tsung-Chi ; Hunga ,Ying-Chao ; Chenga, Smiley W.
貢獻者 統計系
關鍵詞 mean chart;process mean;binomial distribution;skewed distribution;average run length
日期 2012.06
上傳時間 11-十一月-2013 17:46:55 (UTC+8)
摘要 Control charts are demonstrated effective in monitoring not only manufacturing processes but also service processes. In service processes, many data came from a process with nonnormal distribution or unknown distribution. Hence, the commonly used Shewhart variable control charts are not suitable because they could not be properly constructed. In this article, we proposed a new mean chart on the basis of a simple statistic to monitor the shifts of the process mean. We explored the sampling properties of the new monitoring statistic and calculated the average run lengths of the proposed chart. Furthermore, an arcsine transformed exponentially weighted moving average chart was proposed because the average run lengths of this modified chart are more intuitive and reasonable than those of the mean chart. We would recommend the arcsine transformed exponentially weighted moving average chart if we were concerned with the proper values of the average run length. A numerical example of service times with skewed distribution from a service system of a bank branch in Taiwan is used to illustrate the proposed charts.
關聯 Quality and Reliability Engineering International, 28(4), 377-386
資料類型 article
dc.contributor 統計系en_US
dc.creator (作者) 洪英超;楊素芬zh_TW
dc.creator (作者) Yang, Su-Fen ; Cheng,Tsung-Chi ; Hunga ,Ying-Chao ; Chenga, Smiley W.-
dc.date (日期) 2012.06en_US
dc.date.accessioned 11-十一月-2013 17:46:55 (UTC+8)-
dc.date.available 11-十一月-2013 17:46:55 (UTC+8)-
dc.date.issued (上傳時間) 11-十一月-2013 17:46:55 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/61611-
dc.description.abstract (摘要) Control charts are demonstrated effective in monitoring not only manufacturing processes but also service processes. In service processes, many data came from a process with nonnormal distribution or unknown distribution. Hence, the commonly used Shewhart variable control charts are not suitable because they could not be properly constructed. In this article, we proposed a new mean chart on the basis of a simple statistic to monitor the shifts of the process mean. We explored the sampling properties of the new monitoring statistic and calculated the average run lengths of the proposed chart. Furthermore, an arcsine transformed exponentially weighted moving average chart was proposed because the average run lengths of this modified chart are more intuitive and reasonable than those of the mean chart. We would recommend the arcsine transformed exponentially weighted moving average chart if we were concerned with the proper values of the average run length. A numerical example of service times with skewed distribution from a service system of a bank branch in Taiwan is used to illustrate the proposed charts.en_US
dc.format.extent 736260 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Quality and Reliability Engineering International, 28(4), 377-386en_US
dc.subject (關鍵詞) mean chart;process mean;binomial distribution;skewed distribution;average run lengthen_US
dc.title (題名) A New Chart for Monitoring Service Process Meanen_US
dc.type (資料類型) articleen