This paper aims to consider the practical production environment of electronics manufacturing industry firms, and the large quantities of information collected on machine processes, testing data and production reports, while simultaneously taking into account the properties of the processing environment, in conducting analysis to obtain valuable information.,This research constructs a prediction model of the circuit board assembly process yield. A decision tree is used to extract the key attributes. The authors also integrate association rules to determine the relevance of key attributes of undesirable phenomena.,The results assure the successful application of the methodology by reconfirming the rules for solder skip and short circuit occurrence and their causes.,Measures for improvement are recommended, production parameters determined and debugging suggestions made to improve the process yield when the new process is implemented.

中文翻译：

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应用数据挖掘方法建立PCBA工艺智能决策系统

本文旨在考虑电子制造行业企业的实际生产环境，以及收集到的大量机器加工信息、检测数据和生产报告，同时考虑加工环境的特性，进行分析以获得有价值的信息。 ,本研究构建了电路板组装工艺良率的预测模型。决策树用于提取关键属性。作者还整合了关联规则来确定不良现象关键属性的相关性。,结果通过重新确认漏焊和短路发生的规则及其原因，保证了该方法的成功应用。建议改进措施，