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 . 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.