An Artificial Neural Network Based Algorithm For Real Time Dispatching Decisions

Shiladitya Chakravorty, N. Nagarur
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引用次数: 2

Abstract

In semiconductor manufacturing fabs, presence of queue time restricted zones within manufacturing routes present some unique challenges for fab dispatching and scheduling systems. In this study we discuss some of these challenges and present a cycle time prediction methodology based on backpropagation trained artificial neural network which can be used for making real time dispatching decisions at trigger steps of queue time restricted zones.
基于人工神经网络的实时调度决策算法
在半导体制造晶圆厂中,在制造路线中存在排队时间限制区域,这给晶圆厂调度和调度系统带来了一些独特的挑战。在本研究中,我们讨论了其中的一些挑战,并提出了一种基于反向传播训练的人工神经网络的周期时间预测方法,该方法可用于在队列时间限制区域的触发步骤进行实时调度决策。
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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