Statistical machine control: a practical approach to total productive maintenance of semiconductor equipment

F. Lavallart, N. Cooper
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引用次数: 1

Abstract

Statistical Machine Control (SMC) encompasses the total maintenance effect on equipment. This approach steps far beyond the "fix it" attitude that has often been the understood job of a maintenance technician. SMC incorporates Total Quality Management (TQM) practices, the predictive and preventive maintenance programs. The goal of the program is to maximize uptime while continuing: to reduce variation. Variation has an effect on product yields, and equipment can be a major cause of the total variation in a factory. SMC addresses these concerns, and it requires a change in mind set that takes time, training and a lot of energy to bring to fruition. SMC works if the organization is committed to overcome the stumbling blocks along the way. This paper is illustrated with four practical examples.
统计机器控制:半导体设备全面生产维护的实用方法
统计机器控制(SMC)包括对设备的总维护效果。这种方法远远超出了“修理它”的态度,而这种态度通常被理解为维护技术人员的工作。SMC整合了全面质量管理(TQM)实践,预测性和预防性维护计划。该计划的目标是在继续减少变化的同时最大限度地延长正常运行时间。变化对产品产量有影响,而设备可能是工厂总变化的主要原因。SMC解决了这些问题,它需要改变思维定式,这需要时间、培训和大量的精力来实现。如果组织致力于克服前进道路上的绊脚石,SMC就会起作用。本文以四个实例加以说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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