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首页> 外文期刊>IEEE Design & Test of Computers Magazine >Combining Negative Binomial and Weibull Distributions for Yield and Reliability Prediction
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Combining Negative Binomial and Weibull Distributions for Yield and Reliability Prediction

机译:结合负二项式和Weibull分布进行产量和可靠性预测

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摘要

A KEY PRODUCTIVITY METRIC in semiconductor manufacturing is wafer test yield--the fraction of dies deemed functional following wafer probe testing. Wafer test yield is directly related to semiconductor manufacturing profitability: The higher the yield, the lower the cost of producing a functional chip, and therefore the greater the potential profit. Because wafer test yield is such a critical variable in a product's profit potential, accurate yield projection models are essential to semiconductor manufacturers' economic success. Of course, once a product is shipped to the customer, the product's reliability, or continued functionality, becomes the main concern. In fact, ICs are usually built into larger systems, so an individual component's failure can result in the entire system's failure. Moreover, identifying and repairing a faulty system component is usually a difficult and costly task, so a large portion of a semiconductor manufacturer's customer satisfaction rating depends on product reliability.
机译:半导体制造中的关键生产率指标是晶圆测试良率,即在晶圆探针测试后被认为能正常工作的裸片比例。晶圆测试良率与半导体制造的获利能力直接相关:良率越高,生产功能芯片的成本越低,因此潜在利润就越大。由于晶圆测试良率是产品获利潜力的关键变量,因此准确的良率预测模型对于半导体制造商的经济成功至关重要。当然,一旦产品交付给客户,产品的可靠性或持续的功能就成为主要问题。实际上,IC通常内置于较大的系统中,因此单个组件的故障可能导致整个系统的故障。此外,识别和修复故障的系统组件通常是一项艰巨且昂贵的任务,因此半导体制造商的客户满意度很大一部分取决于产品的可靠性。

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