標題: Estimated incapability index: Reliability and decision making with sample information
作者: Pearn, WL
Lin, GH
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: process incapability index;non-central chi-square distribution;alpha-level confidence relative error
公開日期: 1-Mar-2002
摘要: 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.
URI: http://dx.doi.org/10.1002/qre.455
http://hdl.handle.net/11536/28974
ISSN: 0748-8017
DOI: 10.1002/qre.455
期刊: QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Volume: 18
Issue: 2
起始頁: 141
結束頁: 147
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