使用测试保护带提高测试质量和产量的重测方案

Eng Pub Date : 2023-12-13 DOI:10.3390/eng4040169
Chung-Huang Yeh, Jwu E. Chen
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引用次数: 0

摘要

本研究采用数字集成电路(IC)测试模型模块来模拟集成电路的制造和测试。假设测试条件下的晶圆器件为正态概率分布,对集成电路的良品率和质量进行分析。随着芯片设计功能变得异常复杂,测试和验证的难度也越来越大。相反,自 COVID-19 事件爆发以来,汽车行业的芯片供应链受到了严重影响。汽车市场的芯片短缺问题一直存在,因此,在有限的生产能力下增加可用芯片已成为当务之急。因此,本研究应用了数字集成电路测试模型(DITM),并提出了重新测试计划。这种方法不需要大量时间来收集大型晶片数据,也不需要额外的硬件设备。此外,还设定了所需的测试质量参数,并通过调整测试保护带(TGB)在器件上重复测试。此外,还提出了三种重测方案,以提高集成电路测试质量(Yq)和测试良率(Yt),满足消费者对产品质量的要求。一套 2021 年 IEEE 器件与系统国际路线图(IRDS)参数被用来演示所提出的三种重新测试方案。2021 年 IRDS 数据的模拟结果证明,重测方法能有效提高测试良率(Yt)。对三种重测方法的估计结果进行比较后发现,使用重复测试方法可以在不牺牲测试质量(Yq)的情况下最大限度地提高测试产量。相比之下,重复测试确实能将测试产量(Yt)提高 14% 或更多。此外,可销售集成电路的增加不仅能为企业增加额外收益,还能缓解当前全球汽车集成电路短缺的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Retesting Schemes That Improve Test Quality and Yield Using a Test Guardband
The digital integrated circuit (IC) testing model module is applied in this study to simulate the fabrication and testing of integrated circuits. The yield and quality of ICs are analyzed by assuming that the wafer devices under test conditions are normal probability distributions. The difficulties of testing and verification become increasingly great as the design function of the chip becomes remarkably complex. Conversely, the automotive industry chip supply chain has been substantially affected since the COVID-19 outbreak. The shortage of chips in the auto-market has always existed; therefore, increasing available chips under a limited production capacity has become a top priority. Therefore, this study applies the digital integrated circuit testing model (DITM) and proposes a retest plan. This method does not require considerable time to collect large wafer data, nor does it require additional hardware equipment. Furthermore, the required test quality parameters are set, and the test is repeated on the device by adjusting the test guardband (TGB). Moreover, three retesting schemes are proposed to improve the IC test quality (Yq) and test yield (Yt) to meet the requirements of consumers for product quality. A set of 2021 IEEE International Roadmap for Devices and Systems (IRDS) parameters is used to demonstrate the three proposed retesting schemes. The simulation results from the 2021 IRDS data prove that the retest method can effectively improve the test yield (Yt). A comparison of the estimated results of the three retest methods shows that using the repeat test method can maximize the test yield without sacrificing the test quality (Yq). By contrast, repeat testing can indeed improve the test yield (Yt) by 14% or more. Moreover, the increase in sellable ICs not only increases additional earnings for corporations, but also alleviates the current global shortage of automotive ICs.
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Eng
Eng
CiteScore
2.10
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