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Optimization of AMHS design for a semiconductor foundry fab by using simulation modeling

机译:用仿真建模优化半导体铸造FAB的AMHS设计

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A 300mm semiconductor fab requires a tremendous amount of investment with a great deal of process tools inside. Those process tools are connected by the automatic material handling system (AMHS), thus requiring an extremely complex AMHS network. Additionally, unlike simple products of an integrated device manufacturer (IDM) or a memory fab, foundry fab manufactures hundreds of consumer products simultaneously, subsequently creating globally an extremely high transportation volume and complex demands on the material handling system. Previously, experiential engineers designed AMHS, possibly taking months of design lead-time. However, the next generation fab AMHS design focuses not only AMHS specifications, but also operational know-how. Meanwhile, a long design lead time fails to fulfill the requirements of the fast ramp up plan. Additionally, design optimization and shrink lead time are achieved by applying simulation modeling as a design platform whenever TSMC constructs an AMHS for a new fab. Via this platform, precise simulation is performed on the AMHS specifications, fab layout, tool configuration, and process flow information to ensure design success and avoid a potential AMHS bottleneck.
机译:300mm半导体Fab需要大量的投资,内部具有大量的工艺工具。这些过程工具通过自动材料处理系统(AMH)连接,从而需要极其复杂的AMHS网络。此外,与集成器件制造商(IDM)或存储厂的简单产品不同,Foundry Fab同时制造数百家消费产品,随后在全球范围内创造极高的运输量和对材料处理系统的复杂需求。以前,体验工程师设计了AMHS,可能需要几个月的设计汇总时间。然而,下一代Fab AMHS设计不仅重点是AMHS规范,而且还侧重于AMHS规格,而且还专注于运营诀窍。同时,长设计汇流时间未能满足快速增速计划的要求。另外,每当TSMC构造新FAB的AMHS时,通过将仿真建模作为设计平台应用模拟建模来实现设计优化和收缩时间。通过该平台,在AMHS规格,FAB布局,工具配置和过程流程信息上执行精确的仿真,以确保设计成功并避免潜在的AMHS瓶颈。

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