马尔可夫G/G/s模型通过指数相关性适应工厂运行曲线

S. Bouhnik, Shalhevet Azran
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引用次数: 0

摘要

在当前NAND闪存/NVM/NOR闪存市场竞争激烈的环境中,周期时间(CT)是成功的关键。CT的性能取决于工艺时间减少,工具组(运行相同操作的类似工具组)性能和在制品管理政策,但主要取决于工厂(fab)装载。了解工厂CT变化对于满足客户承诺,同时保持优化的库存水平至关重要。工具集连续油管(连续油管在工具集上运行的操作步骤的总和)通常由P/K方程建模,这是一个基本方程,可以深入了解影响连续油管的因素。我们将这个方程推广到模型工厂CT。连续油管与载荷的曲线称为工具集作业曲线。在本文中,我们将根据35周的200mm工厂CT在65nm下运行的性能,在可变负载和容量变化的情况下定义对数工厂运行曲线。通过工厂模拟验证了其运行曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Markov G/G/s model adaptation to factory operational curve though exponential correlation
In the current highly competitive environment of the NAND Flash/NVM/NOR flash market, cycle times (CT) are the key to success. CT performance depends on process time reduction, tool set (group of similar tool running same operations) performance, and WIP (Work In Process) management policy, but mainly on factory (fab) loading. Understanding factory CT variability is critical to meet customer commitments while maintaining optimized inventory levels. Tool set CT (sum of the operations step CT run on the tool set) is usually modeled by the P/K equation, a fundamental equation that provides insights into what affects CT. We extended this equation to model factory CT. The curve CT vs. loading is called the tool set operational curve. In this paper, we will define the logarithm factory operational curve based on 35 weeks of 200mm factory CT performance running at 65nm, during variable loading and capacity change. The operational curve was also validated using factory simulation.
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