完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Pearn, WL | en_US |
dc.contributor.author | Lin, GH | en_US |
dc.date.accessioned | 2014-12-08T15:42:45Z | - |
dc.date.available | 2014-12-08T15:42:45Z | - |
dc.date.issued | 2002-03-01 | en_US |
dc.identifier.issn | 0748-8017 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1002/qre.455 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/28974 | - |
dc.description.abstract | The process incapability index C-pp, which provides an uncontaminated separation between information concerning the process precision and process accuracy, has been proposed to measure process performance for industry applications. In this paper, we investigate the reliability of the natural estimator computationally, based on the alpha-level confidence relative error for various sample sizes. We also develop a decision-making procedure for judging if the process satisfies the preset quality requirement. The investigation is useful to the practitioners in determining the sample sizes required in their applications for the decisions reliable to the desired level. Copyright (C) 2002 John Wiley Sons, Ltd. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | process incapability index | en_US |
dc.subject | non-central chi-square distribution | en_US |
dc.subject | alpha-level confidence relative error | en_US |
dc.title | Estimated incapability index: Reliability and decision making with sample information | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1002/qre.455 | en_US |
dc.identifier.journal | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | en_US |
dc.citation.volume | 18 | en_US |
dc.citation.issue | 2 | en_US |
dc.citation.spage | 141 | en_US |
dc.citation.epage | 147 | en_US |
dc.contributor.department | 工業工程與管理學系 | zh_TW |
dc.contributor.department | Department of Industrial Engineering and Management | en_US |
dc.identifier.wosnumber | WOS:000174981800007 | - |
dc.citation.woscount | 7 | - |
顯示於類別: | 期刊論文 |