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Real-time monitoring of test fallout data to quickly identify tester and yield issues in a multi-site environment

机译:实时监控测试结果数据,以在多站点环境中快速识别测试人员并产生问题

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Variations in test fallout during the testing of high-volume devices may arise from a variety of sources. Some of these, such as process variations and design marginalities, correspond to actual problems with the devices being tested and should lead to those devices being scrapped and/or changes being made to the fabrication process. However, in other cases, the test equipment itself could be unreliable or require an alteration in the test procedure, leading to either bad chips tested as good or good chips failing the test. Thus, a real-time monitor of the yield data and the quality of the test result data is essential for assuring high test quality and for ruling out possible issues arising from the test hardware. The real-time monitoring of the yield can save the chip manufacturer time and cost by finding issues with the testing system in the early stages of production (or as soon as those issues arise), avoiding the scrapping of good devices, and preventing the penalty of sending bad units to the customer. In this paper, a low-cost algorithm to monitor the yield of multiple test sites is presented. The method is capable of being implemented in the test program of a standard tester, and the ability of the approach to provide early warning of test site problems during wafer test is demonstrated through an industrial case study.
机译:在大容量设备测试期间,测试结果的变化可能来自多种来源。其中一些,例如工艺变化和设计裕度,对应于被测试设备的实际问题,并应导致这些设备报废和/或对制造工艺进行更改。但是,在其他情况下,测试设备本身可能不可靠或需要更改测试程序,从而导致测试不良芯片为好芯片或良好芯片未能通过测试。因此,对产量数据和测试结果数据的质量进行实时监控对于确保高测试质量和排除由测试硬件引起的可能问题至关重要。通过在生产的早期(或一旦出现问题)发现测试系统的问题,避免报废优质器件并防止损失,对产量进行实时监控可以节省芯片制造商的时间和成本。向客户发送坏货的问题。在本文中,提出了一种监视多个测试站点产量的低成本算法。该方法能够在标准测试仪的测试程序中实施,并且通过工业案例研究证明了该方法在晶片测试期间提供测试部位问题的预警的能力。

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