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An overlapping decomposition method for performance analysis of the two-loop closed production system in semiconductor assembly factory

机译:半导体组装厂两回路闭式生产系统性能分析的重叠分解法

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摘要

Multi-loop closed production systems widely exist in different industries such as semiconductor assembly and test factories. Measuring the system performance is very difficult because of the complex interactions between the loops. It is fairly significant for the design, improvement and control of the production systems. In this article, we propose an approximation method based on the overlapping decomposition philosophy and introduce the iterative procedures to estimate a two-loop closed production system's performance. The accuracy of the estimates is verified by the experiments and the results show that the approximation method provides good results. We also illustrate the application of the method in a semiconductor factory. First, a pre-treatment aggregation procedure was performed to make the real data correspond with the algorithm. Second, the method was used to measure the performance of the system and the comparison between the analytical results and the practical results are illustrated. Finally, we introduce the case study of improvement application in the semiconductor assembly factory. The case study shows that the proposed method is applicable to practical system performance evaluation, system design and improvement.
机译:多回路闭式生产系统广泛存在于不同行业,例如半导体组装和测试工厂。由于回路之间的复杂相互作用,因此测量系统性能非常困难。对于生产系统的设计,改进和控制而言,这非常重要。在本文中,我们提出了一种基于重叠分解原理的近似方法,并介绍了迭代过程来估计两回路闭式生产系统的性能。实验验证了估计的准确性,结果表明该近似方法具有良好的效果。我们还将说明该方法在半导体工厂中的应用。首先,执行预处理聚合过程以使真实数据与算法相对应。其次,采用该方法对系统性能进行了测量,并对分析结果与实际结果进行了比较。最后,我们介绍了在半导体装配厂中改进应用的案例研究。实例研究表明,该方法适用于实际的系统性能评估,系统设计和改进。

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