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Scheduling transient periods of dual-armed cluster tools

机译:调度双臂集群工具的瞬态周期

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Modern semiconductor manufacturing industry tends to reduce the lot size; that is, a lot has a small number of identical wafers, because of demands for small lots and an increased die yield per wafer due to the larger wafer size. Therefore, cluster tools for wafer processing, mostly repeating identical work cycles, are subject to frequent lot changes. We thus examine dual-armed cluster tool scheduling problems for transient periods. We first develop a Petri net model for the tool's operational behavior in a transient period. We then develop a mixed integer programming model for finding an optimal schedule in terms of makespan of a transient period. We also examine how to adapt the conventional swap sequence, which is mostly used for scheduling steady work cycles, for a transient period. This is important to guarantee the compatibility between schedules of steady-state and transient periods because most tools are scheduled by the swap sequence in steady-state periods. To do this, we identify a deadlock-free condition and also propose two efficient scheduling algorithms by modifying the swap sequence. Finally, we experimentally analyze the efficiency of the proposed algorithms.
机译:现代半导体制造业倾向于减小批量。也就是说,由于对小批量的需求以及由于更大的晶片尺寸而增加的每片晶片的裸片成品率,很多晶片具有相同数量的晶片。因此,用于晶片处理的群集工具(通常重复相同的工作周期)经常会发生批量更改。因此,我们研究了瞬态期间的双臂集群工具调度问题。我们首先为工具在瞬态期间的操作行为开发Petri网模型。然后,我们开发了一个混合整数规划模型,用于根据瞬时周期的有效期找到最佳计划。我们还研究了如何在瞬态期间适应常规交换序列,该序列通常用于调度稳定的工作周期。这对于确保稳态周期和过渡周期的计划表之间的兼容性非常重要,因为大多数工具都是由交换序列在稳态周期进行调度的。为此,我们确定了无死锁的条件,并通过修改交换顺序提出了两种有效的调度算法。最后,我们通过实验分析了所提出算法的效率。

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