Statistical process monitoring system for SMT industry using automatic optical inspection system

被引：0
作者：
Kim, Hee Y. [1 ,2 ]
Han, Seung-Soo [3 ,4 ]
Hong, Sung B. [5 ]
Hong, Sang J. [1 ,2 ]
机构：
[1] Myongji Univ, Dept Elect Engn, Yongin, South Korea
[2] Myongji Univ, MITERI, Yongin, South Korea
[3] Myongji Univ, Dept Informat Engn, Yongin, South Korea
[4] Myongji Univ, NPTC, Yongin, South Korea
[5] Mir Tec, Automat Tech Res Dev Ctr, Miryang, South Korea
来源：
ADVANCED WELDING AND MICRO JOINING / PACKAGING FOR THE 21ST CENTURY | 2008年 / 580-582卷
关键词：
automatic optical inspection; statistical process control; process monitoring; diagnosis;
D O I：
10.4028/www.scientific.net/MSF.580-582.561
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
As the demand of higher throughput in high Volume surface mounting technology (SMT) industry, inspection and testing have been notably emphasized. To alleviate concerns associated with board level soldering inspection.. automatic optical inspection (A01) has been actively used in SMT industry [1]. In this paper, statistical quality control method has been applied for board level inspection to maximize the performance of a commercially available AN system. Considering its complication of SMT assembled board, implementing the quality control scheme for the measured variable data is fairly expensive. However, the proposed system efficiently utilizes both attribute and variable data collected for the daily/weekly based production yield reports, and further utilize as a method for in-line diagnostics in SMT manufacturing process.
引用
收藏
页码：561 / +
页数：2
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