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Automated planning and creation of simulation experiments with a domain specific ontology for semiconductor manufacturing AMHS

机译:利用半导体制造AMHS的领域特定本体自动规划和创建仿真实验

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To successfully manufacture logic and power semiconductors in existing high mix semiconductor factories, fast ramp up phases and frequent product changes are necessary. Especially for power semiconductor production, new manufacturing and automation concepts are required, e.g. regarding the use of other substrates than silicon wafers. To allow a judgment on how an existing automated material handling system (AMHS) can cope with the new challenges or which alterations are required, a material flow simulation is essential. However, the planning and creation of such simulation experiments is difficult because of the systems complexity, the large amount of boundary conditions and the effort of manually modifying and testing many different variants, partially using currently unforeseen automation concepts. In order to assist in this process, the authors suggest a method for rapidly creating valid simulation experiments using an ontology that allows for the reuse of previous experiments and system experts knowledge.
机译:为了成功制造现有的高混合半导体工厂中的逻辑和功率半导体,需要快速增速阶段和频繁的产品变化。特别是对于功率半导体生产,需要新的制造和自动化概念,例如,关于其他基板的使用比硅晶片。为了允许判断现有的自动化材料处理系统(AMHS)如何应对新的挑战或需要哪种改变,因此物流模拟至关重要。然而,这种模拟实验的规划和创建是困难的,因为系统复杂性,大量边界条件以及手动修改和测试许多不同变体的努力,部分地使用当前不可预见的自动化概念。为了帮助在这一过程中,作者建议使用允许重用先前实验和系统专家知识的本体进行快速创建有效模拟实验的方法。

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