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題名 Monitoring and Diagnosing Multistage Processes: A Review of Cause Selecting Control charts
作者 Asadzadeh;Aghaie; Yang,Su-Fen
楊素芬
日期 2008
上傳時間 6-Oct-2010 11:21:14 (UTC+8)
摘要  A review of the literature on cause selecting charts (CSCs) in multistage processes is given, with a concentration on developments which have occurred since 1993. Model based control charts and multiple cause selecting charts (MCSCs) are reviewed. Several articles based on normally and non-normally distributed outgoing quality characteristics are analyzed and important issues such as economic design, autocorrelated processes and adaptive design parameters of cause selecting charts are discussed. The results reveal that cause selecting charts outperform traditional Shewhart charts for individuals when the process steps are dependent, in view of the relationship between input and output quality characteristics. A new method for modeling and simulating a multistage process is proposed which can prove to be more reasonable in real practice. Finally, various directions for future research are given.
關聯 Journal of Industrial and Systems Engineering,2(3)214-235
資料類型 article
dc.creator (作者) Asadzadeh;Aghaie; Yang,Su-Fenen_US
dc.creator (作者) 楊素芬-
dc.date (日期) 2008en_US
dc.date.accessioned 6-Oct-2010 11:21:14 (UTC+8)-
dc.date.available 6-Oct-2010 11:21:14 (UTC+8)-
dc.date.issued (上傳時間) 6-Oct-2010 11:21:14 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/46083-
dc.description.abstract (摘要)  A review of the literature on cause selecting charts (CSCs) in multistage processes is given, with a concentration on developments which have occurred since 1993. Model based control charts and multiple cause selecting charts (MCSCs) are reviewed. Several articles based on normally and non-normally distributed outgoing quality characteristics are analyzed and important issues such as economic design, autocorrelated processes and adaptive design parameters of cause selecting charts are discussed. The results reveal that cause selecting charts outperform traditional Shewhart charts for individuals when the process steps are dependent, in view of the relationship between input and output quality characteristics. A new method for modeling and simulating a multistage process is proposed which can prove to be more reasonable in real practice. Finally, various directions for future research are given.-
dc.language.iso en_US-
dc.relation (關聯) Journal of Industrial and Systems Engineering,2(3)214-235en_US
dc.title (題名) Monitoring and Diagnosing Multistage Processes: A Review of Cause Selecting Control chartsen_US
dc.type (資料類型) articleen