| dc.description.abstract | In recent years, with the highly growing application of new products such as smart phones and tablet PCs, Taiwan SMT production technology has begun to attract high technology industry’s attention. Due to the great rise of global market demand for the sudden, SMT production line is facing a trouble that manpower and equipment increase can not catch up with demand. The production must enhance effectively despite the lack of resources. Unnecessary rework and waste have to be improved. The use of equipment, manpower calculations, fixture production also need to be done with more accurate calculation, in order to maximize the benefits of production capacity.
This study is aimed at the analysis of SMT’s test error rate, which is through data mining techniques to explore the relevant factors. The process was done with statistical software Clementine, on the PCBA board ICT test records for data mining. Meanwhile, it explored the key factors to provide improvement plans to the depart of engineering correctly. We can also use the model created by software, evaluate the new product set by the parameter values for test error rate. To enhance competitiveness in the same industry, the enterprises would be able to quickly and effectively reduce the test error rate, the production planning department can make resource plans more accurately, and avoid the capacity planning excess or lacking.
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