標題: Capability Assessment for Processes with Multiple Characteristics: A Generalization of the Popular Index C-pk
作者: Pearn, W. L.
Shiau, J. -J. H.
Tai, Y. T.
Li, M. 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
關鍵字: capability assessment;yield;multiple characteristics;lower confidence bound
公開日期: 1-Dec-2011
摘要: Process capability index C-pk is the most popular capability index widely used in the manufacturing industry. Existing research on the yield-based measure index C-pk to date is restricted to processes with single characteristics. However, many manufacturing processes are commonly described with multiple characteristics, for example, the gold bumping process in the TFT-LCD (thin film transistor-liquid crystal display) manufacturing industry. In the gold bumping process, gold bumps have multiple characteristics all having effects on the process yield. Obtaining accurate gold bumping manufacturing yield is very important for quality assurance and in providing guidance toward process improvement. To obtain accurate yield assessment for processes with multiple characteristics, we propose a new overall yield-measure index C-pk(T), which is a generalization of the index C-pk, and a natural estimator (C) over cap (T)(pk) of C-pk(T). For the purpose of making inferences on the process capability, we derive a quite accurate approximation of the distribution of (C) over cap (T)(pk) since the distribution is analytically intractable. With this distribution, we tabulate the lower confidence bounds of the new index under various sample sizes for in-plant applications. In addition, we construct a statistical test on the new yield-measure index in order to examine whether the yield meets the customers' requirements. For illustration purpose, a real case in a gold bumping factory located in the Science-based Industrial Park at Hsinchu, Taiwan is presented. Copyright (C) 2011 John Wiley & Sons, Ltd.
URI: http://dx.doi.org/10.1002/qre.1200
http://hdl.handle.net/11536/150420
ISSN: 0748-8017
DOI: 10.1002/qre.1200
期刊: QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Volume: 27
起始頁: 1119
結束頁: 1129
Appears in Collections:Articles