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

机译:通过仿真建模优化半导体代工厂的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:一个300毫米的半导体晶圆厂需要大量投资以及内部大量的处理工具。这些处理工具通过自动物料处理系统(AMHS)连接,因此需要极其复杂的AMHS网络。此外,与集成设备制造商(IDM)的简单产品或内存制造厂的简单产品不同,铸造厂同时生产数百种消费产品,从而在全球范围内创造了极高的运输量和对物料搬运系统的复杂需求。以前,经验丰富的工程师设计了AMHS,可能要花几个月的设计时间。但是,下一代晶圆厂AMHS设计不仅关注AMHS规范,而且关注操作专有技术。同时,较长的设计交付时间无法满足快速启动计划的要求。此外,每当台积电为新工厂建造AMHS时,都可以通过将仿真模型用作设计平台来实现设计优化和缩短交货时间。通过该平台,可以对AMHS规格,晶圆厂布局,工具配置和工艺流程信息进行精确的仿真,以确保设计成功并避免潜在的AMHS瓶颈。

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