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引用次数: 2

摘要

IBM East Fishkill设施独特地利用产量管理测试站点(ymts)作为其所有加速产量学习的基础。作者回顾了YMTS的演变,以确保快速的根本原因分析和及时的纠正措施所需的改进。YMTS数据分析揭示了预测和实际产品最终测试良率之间的高度相关性,并讨论了有助于实现这一目标的设计标准。该方法成功地预测了产品的每个作业的最终测试收率。一些设计和模型增强被认为是这一成功的关键贡献者。并简要介绍了试验场地设计的现状。
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Yield measurement tests sites
The IBM East Fishkill Facility uniquely utilizes the yield management test sites (YMTSs) as the basis for all of its accelerated yield learning. The author reviews the evolution of the YMTS to the improvements required to ensure rapid root-cause analysis and timely corrective actions. The YMTS data analysis, which reveals a high correlation between the predicted and the actual product final test yields, and the design criteria that helped achieve it are discussed. The success of the YMTS in predicting the job-by-job final test yields of the product has been demonstrated. A few design and model enhancements are identified as the pivotal contributors to this success. The current state of the art in test site design is also briefly introduced.<>
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