標題: Testing process precision for truncated normal distributions
作者: Pearn, W. L.
Hung, H. N.
Peng, N. F.
Huang, C. Y.
統計學研究所
工業工程與管理學系
Institute of Statistics
Department of Industrial Engineering and Management
公開日期: 1-十二月-2007
摘要: Process precision index C, has been widely used in the manufacturing industry to provide numerical measures of process precision, which essentially reflects product quality consistency. Precision measures using C, for normal processes, contaminated normal processes, have been investigated extensively, but are neglected for truncated normal processes. Truncated normal processes are common in the manufacturing industry, particularly, for factories equipped with automatic machines handling fully inspections, and scrap/rework products falling outside the specification limits. If the processes follow the normal distribution, then the inspected products (processes) must follow the truncated normal distribution. In this note, we consider the precision measure for truncated normal processes. We investigate the analytically intractable sampling distribution of the estimated C, and obtain a rather accurate approximation. Using the results, we develop a practical testing procedure for practitioners to use in their in-plant applications. (C) 2007 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.microrel.2006.12.001
http://hdl.handle.net/11536/10046
ISSN: 0026-2714
DOI: 10.1016/j.microrel.2006.12.001
期刊: MICROELECTRONICS RELIABILITY
Volume: 47
Issue: 12
起始頁: 2275
結束頁: 2281
顯示於類別:期刊論文


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