THE INCLUSION OF FUTURE ARRIVALS AND DOWNSTREAM SETUPS INTO WAFER FABRICATION BATCH PROCESSING DECISIONS

L. Solomon, J. Fowler, M. Pfund, P. H. Jensen
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引用次数: 36

Abstract

This paper presents a new batch machine dispatching policy that incorporates knowledge about future arrivals and the status of critical machines in subsequent (downstream) processing into the batch processing decision process. The intent is to create a methodology that balances the time lots spend waiting at a batch machine with the time spent in setup, thus improving the overall cycle time. Using discrete-event simulation, this heuristic is compared to existing heuristics that do not consider downstream operations to evaluate their impact on the cycle time both for a small three-machine system and a semiconductor manufacturing facility model. The results showed considerable improvement in cycle times for the small three-machine system. Results for the semiconductor-manufacturing model with downstream batching indicate that the new heuristic is robust but produces results consistent with the current standard heuristic; however, with further modifications, this heuristic may be capable of producing significantly better results.
将未来到货和下游设置纳入晶圆制造批量处理决策
本文提出了一种新的批量机器调度策略,该策略将关于未来到达的知识和后续(下游)加工中关键机器的状态纳入批量加工决策过程。其目的是创建一种方法,平衡批处理机器上花费的等待时间和花费在设置上的时间,从而改善整个周期时间。使用离散事件模拟,将该启发式方法与不考虑下游操作的现有启发式方法进行比较,以评估其对小型三机系统和半导体制造设施模型的周期时间的影响。结果表明,对于小型三机系统,循环时间有相当大的改善。对于下游批量生产的半导体制造模型,结果表明,新启发式算法鲁棒性好,但产生的结果与现行标准启发式算法一致;然而,随着进一步的修改,这种启发式可能能够产生更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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