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Single-station performance evaluation and improvement in semiconductor manufacturing: A graphical approach

机译:半导体制造中的单站性能评估和改进:图形方法

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摘要

The relationships between key indicators of manufacturing system performance, such as cycle time (CT), throughput (TH), utilization, work-in-process (WIP), and the variability factor (to be defined shortly in the text), are complicated and difficult to quantify. In most cases, manufacturing managers cannot optimize one characteristic without adversely affecting another. For example, in order to reduce inventory and shrink time-to-market, one may need to lower the WIP level to reduce CT; however, too much WIP reduction can lead to unexpected station starvation (stoppage) and, thus, degrade TH. Low utilization of expensive equipment is also unacceptable, especially for advanced semiconductor manufacturing. This challenge caused difficulties for Chinese companies to keep up with the pace of China's development in becoming a global manufacturing center. To assist manufacturing managers in improving manufacturing system performance, we developed a graph decision aid for single-station semiconductor manufacturing systems.
机译:制造系统性能的关键指标之间的关系非常复杂,例如周期时间(CT),吞吐量(TH),利用率,在制品(WIP)和可变性因子(将在本文中简短定义)。而且很难量化。在大多数情况下,制造经理无法优化一个特征而不会对另一个特征产生不利影响。例如,为了减少库存和缩短产品上市时间,可能需要降低在制品水平以减少CT。但是,WIP的降低过多会导致站的意外饥饿(停止),从而降低TH。昂贵设备的低利用率也是不可接受的,特别是对于先进的半导体制造而言。这一挑战给中国公司带来了困难,使其难以跟上中国发展成为全球制造业中心的步伐。为了帮助制造经理改善制造系统的性能,我们为单工作站半导体制造系统开发了图形决策辅助工具。

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