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Closed loop control-based real-time dispatching heuristic on parallel batch machines with incompatible job families and dynamic arrivals

机译:具有不兼容的作业族和动态到达的并行批处理计算机上基于闭环控制的实时调度启发式

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摘要

In this paper, a real-time closed loop control dispatching heuristic (RCLC) algorithm is proposed to address the scheduling problem of parallel batch machines with incompatible job families, limited waiting time constraints, re-entrant flow and dynamic arrivals in the diffusion and oxidation areas of a semiconductor wafer fabrication system (SWFS), which is known to be strongly NP-hard. The basis of this algorithm is the information of lots in the buffer when the parallel batch machines are idle and available. In RCLC, if the number of any family lots is less than the maximum batch size, the dispatching heuristic can be seen as a pull-pull-push-push (P~4) strategy; otherwise, a genetic algorithm (GA). A look-itself strategy, P~4 strategy and GA can build a closed loop control system. The experiments are implemented on the Petri nets-based real-time scheduling simulation platform of SWFS, and demonstrate the effectiveness of our proposed method.
机译:本文提出了一种实时闭环控制调度启发式算法,解决了具有不兼容的工作族,有限的等待时间约束,重入流以及扩散和氧化动态到达的并行批处理机的调度问题。半导体晶圆制造系统(SWFS)的一些区域,已知该区域具有很强的NP硬度。该算法的基础是当并行批处理计算机空闲且可用时缓冲区中的批次信息。在RCLC中,如果任何一个家庭批次的数量小于最大批次大小,则调度启发式可以看作是“拉-推-推-推(P〜4)”策略;否则,采用遗传算法(GA)。自看策略,P〜4策略和GA可以构建闭环控制系统。在基于Petri网的SWFS实时调度仿真平台上进行了实验,证明了该方法的有效性。

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