Statistical Process Monitoring System for SMT Industry Using Automatic Optical Inspection System

Hee Y. Kim; Seung Soo Han; Sung Bok Hong; Sang Jeen Hong

doi:10.4028/www.scientific.net/MSF.580-582.561

Paper Titles

Laser Roll Welding of Dissimilar Metal Joint of Titanium to Low Carbon Steel
p.543

Improved High Temperature Tensile Properties of Ti-6Al-4V Alloy by Plasma Sprayed Coating
p.547

4^th Wave of Modernization by Photon/Electron Technology and Development of Advanced Laser Integrated Manufacturing System (ALIMS)
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Development of a Visual Monitoring System for Deformation Measuring of Welded Members and its Application
p.557

Statistical Process Monitoring System for SMT Industry Using Automatic Optical Inspection System
p.561

Robot Based Laser Welding Technology
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A Study on Operational Characteristics of SMA Wire Segmented by Thermoelectric Module
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Geometrical and Welding Conditions on Through-Thickness Residual Stress in Primary Piping of Girth Welded Joints
p.573

Measurement of Through-Thickness Residual Stress in Primary Piping of Girth Welded Joint
p.577

HomeMaterials Science ForumMaterials Science Forum Vols. 580-582Statistical Process Monitoring System for SMT...

Statistical Process Monitoring System for SMT Industry Using Automatic Optical Inspection System

Abstract:

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 (AOI) 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 AOI 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.