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

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

Potsang B. Huang, Cheng-Wei Yu, James C. Chen, Chih-Cheng Chen, Tzu-Wei Peng, Yu-Yao Wei and Chao-Hsuan Feng
Proceedings - International Conference on Machine Learning and Cybernetics, Vol.3, pp.991-995
2012
DOI: https://doi.org/10.1109/ICMLC.2012.6359489

Abstract

Color Filter CONWIP Simulation Neural-network Trade-off Artificial Intelligence Computational Theory and Mathematics Computer Networks and Communications Human-Computer Interaction
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. © 2012 IEEE.

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