0.16 μ m混合晶圆制造设备的最佳产率研究

M. A. Chik, Ve Chun Yung, P. Balakrishna, U. Hashim, I. Ahmad, Bashir Mohamad
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引用次数: 7

摘要

本研究旨在通过了解负载利用率对产能的影响,研究在0.16µm产品混合中实现最佳生产率的机会。该研究对于建立产品装载计划的整体策略模型,以在相应的时间(如月或年)获得最高可达到的产品产量具有重要意义。本分析中使用的产品混合目标包括用于高压,逻辑CMOS和混合信号RF的0.20um至0.13um。分析的输入是各种技术和产品的工艺流程清单、主要制造活动和设备配置,这些都是基于实际的晶圆制造设施系统。该研究的部分复杂性在于其长周期过程,从45分钟到9小时不等,对于各自相同的加工步骤,驱动来自不同的技术和工艺设备的能力。整体周期时间从30天到90天不等,产品与产品之间的需求差异很大。进一步增加复杂性的是用于此分析的设备,有超过100种不同的设备配置。50%以上的设备配置有差异。大多数产品对同一设备类型的重复进入次数超过85%。本分析采用工业软件AutoSchedAP对通用半导体工厂进行建模。集约配置的晶圆厂模型与晶圆厂的精确操作相匹配,几乎等同于100%的制造操作,产品装载和工具配置。结果已成功地发展成一条曲线方程,显示了最佳的产品负荷,并提供了收入和总效率提高10%以上的机会。本研究的进一步结果还总结了支持整体产品交付的晶圆厂利用率与周期时间的范围。在摘要中还讨论了其他影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study for optimum productivity yield in 0.16µm mixed of wafer fabrication facility
This research is to study the opportunity to achieve optimum productivity yield in 0.16µm product mixed through understanding the impact of loading utilization towards the capacity. The study is important to model the overall strategy of product loading planning to get highest achievable product output at respective time like monthly or yearly. The product mixes target used in this analysis includes 0.20um to 0.13um for high voltage, logic CMOS and also mixed signal RF. Input in analysis are list of process flow for various technologies and products, major manufacturing activities and equipment configuration that is based on actual wafer fabrication facilities systems. Part of the complexities of the research is its long cycle time process from 45minutes to 9 hours, for respective same processing step that drives from varies technology and process equipment capable. Overall cycle time is from 30 days to 90 days that is various comparing product-to-product requirements. Further added to the complexity is the equipment used for this analysis that is more than 100 difference equipment configurations. More than 50% of the equipments are with difference configuration. Most products experienced re-entranced more than 85% times to same equipment type. This analysis done on generic semiconductor fab modeled using industries software, AutoSchedAP. The fab model configured intensively so match with exactly operation of the fab, with equivalent almost 100% manufacturing operation, product loading and tool configuration. The results have been successfully developed into a curve an equation shows the optimum product loading and gives opportunity of improvement in revenue and also overall efficiency of more than 10%. Further results of this study also summarized ranges of fab utilization versus cycle time that support overall product delivery. Other impacts are also discussed in the summary.
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