A New Scheduling Approach to Wafer-Residency-Time-Constrained Dual-Arm Cluster Tools Concurrently Processing Multivariety Wafers

IF 8.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Jufeng Wang;Tingting Leng;Chunfeng Liu;MengChu Zhou;Side Zhao
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引用次数: 0

Abstract

In the periodic scheduling problems of a dual-arm wafer-residency-time-constrained (W-R-T-C) cluster tool (CT) with multivariety wafers, it is important to balance workload at each step. This work proposes a method of processing module (PM) two-layer configuration. First, one PM configuration is made for each wafer type, i.e., the suitable number of PMs is selected for processing wafers, ensuring that the natural workload is balanced at each step for a type of wafers. Then, the other PM configuration is made, i.e., adopt a virtual module method for balancing the natural workload at bottleneck processing steps of different types of wafers. Based on two-layer PM configuration, this work derives necessary and sufficient conditions for a CT’s schedulability, which are less restrictive than the current state-of-the-art ones. It proposes a polynomial-time algorithm for computing its minimum periodic schedule when it is schedulable. Several examples are given to show our algorithm’s superiority over existing ones.
基于驻留时间约束的双臂集群工具并行处理多品种晶圆的新调度方法
在具有多品种晶圆的双臂驻留时间约束(W-R-T-C)聚类工具(CT)的周期性调度问题中,平衡每一步的工作负载是很重要的。本文提出了一种处理模块(PM)两层配置的方法。首先,为每种晶圆类型进行一个PM配置,即选择合适数量的PM来处理晶圆,确保每种晶圆类型的每个步骤的自然工作量得到平衡。然后,进行另一种PM配置,即采用虚拟模块方法来平衡不同类型晶圆的瓶颈加工步骤的自然工作量。基于两层PM配置,本文导出了CT可调度性的充分必要条件,这些条件比目前最先进的条件限制更少。提出了一种多项式时间算法,用于计算可调度时的最小周期调度。通过实例说明了算法的优越性。
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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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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