Overall throughput effectiveness (OTE) metric for factory-level performance monitoring and bottleneck detection
Overall throughput effectiveness (OTE) metric for factory-level performance monitoring and bottleneck detection
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DOI：
10.1080/00207540600786731
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发表时间：
2007-08
影响因子：
9.2
通讯作者：
K. M. Muthiah;Samuel H. Huang
中科院分区：
文献类型：
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作者：
K. M. Muthiah;Samuel H. Huang
Seiichi Nakajima提供了整体设备效率（OEE）来衡量生产率并在设备层面进行诊断。然而，文献回顾表明，这样的指标缺乏在工厂一级。为了解决这一差距，开发了整体吞吐量有效性（OTE）度量。OTE的目的有两个：它测量工厂级性能，还可以用于执行工厂级诊断，例如瓶颈检测和识别隐藏容量。提出这样一个度量标准的任务是通过定义一组常见的预定义子系统来实现的，这些子系统包括串联、并联、组装和扩展。OTE是为每个预定义的子系统开发的。它还说明了处理多个产品和执行返工的子系统。任何工厂布局都可以使用预定义的子系统的组合进行建模，从而可以确定整体工厂效率（OFE）。更重要的是，OTE有潜力自动化整个工厂级的性能诊断，从而推动生产力的持续定量提高。本文阐述了OTE开发方法，验证了开发的OTE指标，并展示了其诊断能力。OTE应用于晶圆制造厂和玻璃制造的案例研究表明，生产力的瓶颈和改进的机会，可以定量识别。
Seiichi Nakajima provided overall equipment effectiveness (OEE) to measure productivity and perform diagnostics at the equipment level. However, a literature review indicates that such metrics are lacking at the factory level. In order to address this gap, an overall throughput effectiveness (OTE) metric is developed. The purpose of OTE is twofold: it measures factory-level performance and can also be used for performing factory-level diagnostics such as bottleneck detection and identifying hidden capacity. The task of coming up with such a metric was achieved by defining a set of commonly occurring predefined subsystems including series, parallel, assembly and expansion. OTE was developed for each of these predefined subsystems. It also accounts for subsystems processing multiple products and performing rework. Any factory layout can be modelled using a combination of the predefined subsystems, which allows determination of the overall factory effectiveness (OFE). More importantly, OTE has the potential to automate the entire factory-level performance diagnostics, hence drive continuous productivity improvement quantitatively. This paper explains the OTE development methodology, validates the developed OTE metrics and demonstrates its diagnostic ability. Application of OTE to a wafer fab and glass manufacturing case study showed that productivity bottleneck and opportunities for improvement can be identified quantitatively.