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Robust Production Capacity Planning of a Wafer Fabrication System with Uncertain Wafer Lots Transfer Probabilities

机译:具有不确定晶片批次转移概率的晶圆制造系统的强大生产能力规划

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Production capacity planning is an important problem in the design of a semiconductor wafer fabrication system, which means to optimize the number of tools in the system so that expected production rate, work-in-process level can be satisfied and the cost of building the wafer fab can be minimized. However, a wafer fab usually produces multiple types of wafers, different types of wafers have different and complicated processing routes, and the work-in-process quantities of different types of wafers changes frequently due to the fluctuation of demands. Therefore, the transfer probabilities of wafer lots among tools, material handle devices and bays in the wafer fab are uncertain. To deal with this uncertainty, it is necessary to improve the robustness of he production capacity planning of a wafer fab. In this paper, we construct an open queueing network-based model of a wafer fab and developed a mathematical model of the robust production capacity planning problem with the objective of maximizing the probability of satisfying expected performance requirements. To solve this problem, a heuristic algorithm is proposed and numerical experiments are conducted to evaluate the robustness of the solution.
机译:生产能力规划是半导体晶片制造系统的设计中的一个重要问题,这意味着优化系统中的工具数量,从而可以满足预期的生产率,工艺水平,建立晶圆的成本晶圆厂可以最小化。然而,晶片Fab通常产生多种类型的晶片,不同类型的晶片具有不同且复杂的处理路线,以及不同类型的晶片的过程数量频繁发生,因为需求的波动频繁变化。因此,晶片工厂中工具,材料处理装置和托架之间的晶片批次之间的转移概率不确定。为了处理这种不确定性,有必要提高晶圆厂的生产能力规划的鲁棒性。在本文中,我们构建了一个开放的基于网络的晶片Fab的模型,并开发了强大的生产能力规划问题的数学模型,目的是最大化满足预期性能要求的概率。为了解决这个问题,提出了一种启发式算法,并进行了数值实验以评估解决方案的鲁棒性。

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