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A simulation assisted neural -networks forecasting system on the optimization between WIP and throughput for TFT-LCD color filter fabs

机译:一种仿真辅助神经网络预测系统对TFT-LCD滤色器FAB的WIP和吞吐量优化

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There are trade-offs between cost and effect for WIP and throughput. Management may need to stimulate environments to find the existing trade-off points and determine the actions needed to minimize their effect on WIP and throughput. Thus, the ANNF system is integrated with Artificial Neural Network and AutoMod Software. The combination of the ANNF system and mathematical theory resulted in a new trade-off system. This system enables planners to conduct what-if analysis for the production control policies without disturbing operations in the real plant. Better alternatives leading to higher system throughput can be identified by using system simulation in the fab.
机译:在WIP和吞吐量的成本和效果之间存在权衡。管理层可能需要刺激环境,以查找现有的权衡点,并确定最小化其对WIP和吞吐量影响所需的操作。因此,Annf系统与人工神经网络和Automod软件集成。 Annf系统和数学理论的组合导致了新的折衷系统。该系统使规划人员能够在无扰动实际工厂的情况下进行生产控制政策的分析。可以通过使用FAB中的系统模拟来识别导致较高系统吞吐量的更好的替代方案。

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