Towards realization of a high-fidelity simulation model for short-term horizon forecasting in wafer fabrication facilities

W. Scholl, Boon-Ping Gan, Ming Li Peh, P. Lendermann, Daniel Noack, O. Rose, P. Preuss
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引用次数: 17

Abstract

Discrete Event Simulation (DES) has widely been used for mid and long term forecasting in wafer fabrication plants. But the use of DES for short term forecasting has been limited due to the perceived modelling and computation complexity as well as the non-steady state nature of today's wafer fab operations. In this paper, we discuss some important modelling issues associated with building an online simulation model. Key elements considered are actual process routes, process and throughput modelling as a function of equipment behavior, lot size, and available processing modules, process dedication at equipment level, equipment downs at mainframe level, estimated lot release strategy, send ahead wafers, dispatch rules, and setup. Typical application areas are proactive dedication management, preventive maintenance scheduling and WIP based sampling optimization.
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面向晶圆厂短期视界预测的高保真仿真模型的实现
离散事件模拟(DES)已广泛应用于晶圆制造工厂的中长期预测。但是,由于感知到的建模和计算复杂性以及当今晶圆厂操作的非稳态性质,使用DES进行短期预测受到限制。在本文中,我们讨论了与建立在线仿真模型相关的一些重要建模问题。考虑的关键要素是实际的工艺路线、工艺和吞吐量建模(作为设备行为的函数)、批量大小和可用的处理模块、设备级的工艺投入、主机级的设备停机、估计的批量释放策略、提前发送晶圆、调度规则和设置。典型的应用领域是主动奉献管理,预防性维护计划和基于在制品的抽样优化。
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