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Modeling and simulation of a Petri nets-based diffusion cell controller in an IC CIM system

机译:IC CIM系统中基于Petri网的扩散单元控制器的建模和仿真

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We develop a systematic approach to analyze, model and simulate the diffusion cell controller (C/C) in a computer integrated manufacturing (CIM) system of an integrated circuit (IC) wafer by using Petri net theorem. A good C/C has the ability to handle and diagnose the complex procedures in the hybrid and dynamic system of IC production. First we use the IDEF0 method for the system specification analysis that makes us classify the procedures of IC production, and understand the resource sharing situation and the production control logic. Then the generalized stochastic Petri net (GSPN) is applied to model the system of a diffusion cell in IC CIM, which is a useful tool to model and analyze a discrete event dynamic system (DEDS). Based on this Petri net model, we can perform the system's qualitative and quantitative analyses. The model has been validated by comparing the simulation data with the real data. Also, we can find out the bottleneck of the cell and answer lots of "what-if" questions by doing sensitivity analyses. Here, we make some predictions for the system performance improvement based on the existing capacity.
机译:我们开发一种系统的方法,通过使用Petri网定理,在集成电路(IC)晶圆的计算机集成制造(CIM)系统中分析,建模和模拟扩散单元控制器(C / C)。一个好的C / C能够处理和诊断IC生产的混合和动态系统中的复杂程序。首先,我们使用IDEF0方法进行系统规格分析,从而对IC生产过程进行分类,并了解资源共享情况和生产控制逻辑。然后应用广义随机Petri网(GSPN)对IC CIM中扩散池的系统进行建模,这是建模和分析离散事件动态系统(DEDS)的有用工具。基于此Petri网模型,我们可以执行系统的定性和定量分析。该模型已通过将仿真数据与实际数据进行比较而得到验证。另外,我们可以通过进行敏感性分析来找出单元的瓶颈,并回答很多“假设”问题。在此,我们根据现有容量对系统性能的提高做出一些预测。

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