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首页> 外文期刊>European Journal of Operational Research >Robust production capacity planning under uncertain wafer lots transfer probabilities for semiconductor automated material handling systems
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Robust production capacity planning under uncertain wafer lots transfer probabilities for semiconductor automated material handling systems

机译:在不确定的晶圆批次下传输半导体自动材料处理系统的稳健生产能力规划

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摘要

In this paper, wafer lots transfer probability (WLTP) is introduced to capture the flowing rate of wafer lots among production bays, which is uncertain due to various wafer types and quantities. We study a new production capacity planning problem for wafer fabrication systems with uncertain WLTP. Based on an open queueing network model, the average work-in-process (WIP) level of the system is evaluated. Because of the uncertain WLTP, the average WIP level fluctuates significantly and sometimes exceeds its upper bound. Therefore, we develop a robust production capacity planning model with two layers: the bottom layer for finding the maximum WIP fluctuation under a given vehicle quantity; and the upper layer for determining the vehicle quantities to minimize the WIP fluctuation and the probability of the average WIP exceeding the upper bound. A method based on the monotonicity of the objective functions is developed to solve such a bi-objective optimization problem. (C) 2017 Elsevier B.V. All rights reserved.
机译:在本文中,晶圆批次转移概率(WLTP)被引入以捕获晶圆批次中生产托架流动速率,这是对各种晶片的类型和数量不确定所致。我们为不确定WLTP晶圆制造系统的研究提供了新的产能规划问题。基于开放排队网络模型中,系统的平均工作在制品(WIP)水平进行了评价。由于不确定WLTP,平均WIP水平显著波动并且有时超过其上限。因此,我们开发具有两层的严谨的生产容量规划模型:用于查找给定的车辆量下最大WIP波动的底层;和用于确定车辆的数量,以最小化WIP波动和平均WIP超过上限的概率上层。基于所述目标函数的单调性的方法进行显影,以解决这样的双目标优化问题。 (c)2017年Elsevier B.V.保留所有权利。

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