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Simulation-based multi-mode resource-constrained project scheduling of semiconductor equipment installation and qualification

机译:基于仿真的多模式资源受限的半导体设备安装与资质项目调度

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Ramping up a semiconductor wafer fabrication facility is a challenging endeavor. One of the key components of this process is to contract and schedule multiple types of resources in installing and qualifying the capital intensive and sophisticated manufacturing equipment. Due to the stochastic nature of the business environment, equipment shipment delays and activity duration increases are common. We first model the process as a deterministic multi-mode resource-constrained project scheduling problem (MRCPSP) which is NP-hard in the strong sense. Then we extend the classical MRCPSP to handle special aspects of the semiconductor environment such as time-varying resource constraints and resource vacations, alternative resource modes, non-preemptive activity splitting, etc. In this research, a modified Simulated Annealing (SA) algorithm combined with Monte Carlo simulation is proposed to evaluate and improve the execution of the Install/qual schedule with stochastic ready times and activity durations. A case study is provided to demonstrate the approach.
机译:加强半导体晶圆制造设施是一项具有挑战性的工作。此过程的关键组成部分之一是,在安装和鉴定资本密集型和复杂的制造设备时,应签约和安排多种类型的资源。由于业务环境的随机性,设备装运延迟和活动持续时间增加是常见的。我们首先将过程建模为确定性的多模式资源受限项目调度问题(MRCPSP),这在很强的意义上是NP难题。然后,我们将经典的MRCPSP扩展为处理半导体环境的特殊方面,例如时变资源约束和资源休假,替代资源模式,非抢先活动拆分等。在本研究中,结合了改进的模拟退火(SA)算法建议使用Monte Carlo仿真评估和改进具有随机准备时间和活动持续时间的安装/质量计划的执行。提供了一个案例研究来说明该方法。

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