Maintenance Content Reduction and Digitalization for Performance Optimization

Christopher Bode
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引用次数: 0

Abstract

One bedrock requirement within the semiconductor industry is the need for a comprehensive maintenance program to support reliable and predictable tool performance. While this is true, it is certainly not the case where “more is better,” but rather an effort to define the truly necessary actions and best-known methods in maintaining tools to optimize availability, productivity, and product quality. The ongoing development and integration of Smart Manufacturing solutions across the factory systems landscape is now playing a role toward these objectives in providing a foundation for defining, deploying, and managing optimized maintenance task workflows. This paper will present both the efforts of companies using FabRecover, a novel maintenance management decision support framework, and the resulting demonstrable improvements that were achieved through such investments.
减少维修内容和数字化以优化性能
半导体行业的一个基本要求是需要一个全面的维护计划,以支持可靠和可预测的工具性能。虽然这是对的,但这肯定不是“越多越好”的情况,而是在维护工具以优化可用性、生产力和产品质量方面定义真正必要的操作和最知名的方法的努力。智能制造解决方案在工厂系统领域的持续开发和集成正在为这些目标提供基础,为定义、部署和管理优化的维护任务工作流提供基础。本文将展示使用FabRecover(一种新的维护管理决策支持框架)的公司所做的努力,以及通过这种投资所实现的可证明的改进。
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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