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Yield and defect level prediction of designed printed circuit board assembly based on DPMO metric

机译:基于DPMO度量的设计印刷电路板组件的良率和缺陷水平预测

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In this paper a new prediction tool is presented, which can provide both yield and defect level predictions. The tool, which is based on DPMO (defects per million opportunities) metric, is intended for newly designed printed circuit board assemblies. It is programmed in Visual Basic for Application (VBA) and it can be operated in MS Excel environment. Yield prediction is based on so called the yield-DPMO model that is an extension of the yield prediction model, which was created in my dissertation and published in the paper [1]. The yield-DPMO model provides more outputs for quality planners then yield prediction model. The defect level prediction is based on the so called the “defect level-DPMO” model, which works on the basis of complexity based estimate, where from inputs data are determined the defect spectrums and tests coverage. The advantage of DPMO is the fact that it is fully comparable metric and it is not associated only with the certain manufacturing line. Thanks to this tool is possible to predict defect level, manufacturing yield, analyze and assess test strategy alternatives by using the estimated defects.
机译:本文提出了一种新的预测工具,该工具可以提供良率和缺陷水平的预测。该工具基于DPMO(每百万机会缺陷数)度量标准,旨在用于新设计的印刷电路板组件。它是在Visual Basic for Application(VBA)中编程的,并且可以在MS Excel环境中进行操作。产量预测基于所谓的yield-DPMO模型,该模型是产量预测模型的扩展,该模型是在我的论文中创建并发表在论文中的[1]。产量-DPMO模型为产量计划者提供了比产量预测模型更多的输出。缺陷水平预测基于所谓的“缺陷水平-DPMO”模型,该模型基于基于复杂度的估计工作,其中从输入数据中确定缺陷频谱并测试覆盖范围。 DPMO的优势在于它是完全可比较的指标,并且不仅与特定生产线相关联。借助此工具,可以使用估计的缺陷来预测缺陷水平,制造良率,分析和评估测试策略的替代方案。

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