在一家半导体制造商实施整体设备效率(OEE)系统

S. Giegling, W.A. Verdini, T. Haymon, J. Konopka
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引用次数: 33

摘要

工厂产能正变得极其昂贵,新工厂可能至少在几年内无法达到设计产出水平。在半导体行业,新的晶圆制造设备所需的投资可能超过10亿美元。由于半导体制造设施的成本持续上升,利润空间受到挤压,半导体制造商必须尝试提高其现有半导体制造设施(fab)的生产能力。评估现有能力的利用情况是这项工作的关键组成部分。目前在摩托罗拉半导体产品部(SPS)的RF1晶圆制造工厂中使用的一种产能分析工具是产能利用率瓶颈效率系统(CUBES)。RF1正在使用CUBES来增强一个非常先进的全面生产制造(TPM)计划。1995年夏季,CUBES逐渐被引入RF1,并在1995年秋季,在建立了CUBES与在制品(WIP)跟踪系统(PROMIS/sup TM/)之间的接口后,被广泛接受。CUBES决策支持工具通常很容易使用,但是收集输入工具性能数据可能很困难且耗时。由于多维数据集的直接用户范围从管理人员到维修技术人员到操作员,因此必须开发一个系统,将必要的数据库自动连接在一起,以计算能力和总设备效率。本文讨论了实现过程。为了让读者熟悉,我们首先简要回顾一下这个项目的目标。接下来是对该系统的组成和实现的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of overall equipment effectiveness (OEE) system at a semiconductor manufacturer
Factory capacity is becoming exceedingly expensive and new factories may not reach designed output levels for at least a couple of years. In the semiconductor industry, required investments in new wafer fabrication facilities may exceed $1 billion. As the cost of semiconductor manufacturing facilities continues to escalate and profit margins get squeezed, semiconductor manufacturers must attempt to increase production capabilities in their existing semiconductor manufacturing facilities (FABs). Assessing the utilization of existing capacity is a key component in this effort. One capacity analysis tool that is currently in use within the RF1 wafer fabrication facility of Motorola's Semiconductor Products Sector (SPS) is the Capacity Utilization Bottleneck Efficiency System (CUBES). RF1 is using CUBES to enhance a very progressive Total Productive Manufacturing (TPM) program. CUBES was gradually introduced to RF1 during the summer of 1995 and became widely accepted during the Fall of 1995 after an interface between CUBES and the work in process (WIP) tracking system, PROMIS/sup TM/, was established. The CUBES decision support tool is generally simple to use, but collecting the input tool performance data may be difficult and time consuming. Since direct users of CUBES range from managers to maintenance technicians to operators, it was imperative to develop a system that linked necessary databases together automatically to calculate capacity and Overall Equipment Effectiveness (OEE). This paper discusses the implementation process. To acquaint the reader, we begin with a brief review of the objectives of this project. Following that is a discussion of the components and implementation of this system.
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