Integrated intelligent optimized dynamic scheduling of semiconductor fabrication facilities

Li Li, F. Qiao
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引用次数: 1

Abstract

Semiconductor wafer fabrication facilities (fabs) cry for optimized dynamic scheduling approach due to its high uncertainty and complexity. A novel intelligent optimized dynamic scheduling method, integrating intelligent sequencing with dynamic dispatching, is proposed (abbreviated as ODC). ODC includes three sub-algorithms, i.e., a Partheno-Genetic Algorithm (PGA) to obtain optimized sequencing plan, a dispatching rule (DR) to achieve dynamic dispatching solution and a coordination algorithm (CA) to integrate PGA with DR. A simplistic model, but with essential characteristics of semiconductor wafer fabs, is used to verify and validate the efficiency of ODC. It is shown that ODC is superior to PGA, DR and FIFO with better performance of mean cycle time (MCT), makespan and on-time delivery (OTD) under uncertain environments.
半导体制造设备集成智能优化动态调度
半导体晶圆制造工厂由于其高度的不确定性和复杂性,迫切需要优化的动态调度方法。提出了一种将智能排序与动态调度相结合的智能优化动态调度方法(简称ODC)。ODC包括三个子算法,即获得最优排序计划的Partheno-Genetic Algorithm (PGA)、实现动态调度方案的调度规则(DR)和将PGA与DR相结合的协调算法(CA)。采用一个简化的模型,但具有半导体晶圆厂的本质特征,用于验证ODC的效率。结果表明,在不确定环境下,ODC在平均周期时间(MCT)、完工时间(makespan)和准时交货(OTD)方面优于PGA、DR和FIFO。
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