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A REVIEW OF SIMULATION-OPTIMIZATION METHODS WITH APPLICATIONS TO SEMICONDUCTOR OPERATIONAL PROBLEMS

机译:仿真优化方法及其在半导体运行问题中的应用综述

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Recent advances in simulation optimization (SO) research and explosive growth in computing power have made it possible to optimize complex manufacturing system problems. Semiconductor manufacturing is known as one of the most complex manufacturing systems. Based on a review of literature in the field of semiconductor manufacturing operational and planning problems, there is little reference to SO methods, an approach that has many advantages over other solution approaches. In this paper, we first distinguish between different users of SO then consider different approaches of SO applied to semiconductor and other manufacturing problems. The article then describes the main operational and planning issues in semiconductor manufacturing drawing actively from a Bosch fab, which could be addressed using SO. Finally, we attempt to provide insights on how SO can be applied to these problems.
机译:仿真优化(SO)研究的最新进展以及计算能力的爆炸性增长使得优化复杂的制造系统问题成为可能。半导体制造被认为是最复杂的制造系统之一。基于对半导体制造操作和计划问题领域的文献的回顾,很少提及SO方法,这种方法相对于其他解决方案方法具有很多优势。在本文中,我们首先区分SO的不同用户,然后考虑将SO应用于半导体和其他制造问题的不同方法。然后,本文通过博世(Bosch)晶圆厂积极地描述了半导体制造中的主要运营和计划问题,可以使用SO解决这些问题。最后,我们尝试提供有关如何将SO应用于这些问题的见解。

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