制定大学和研究中心资产完整性管理方法

Rodrigo Suzano de Oliveira
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引用次数: 0

摘要

本文介绍了笔者为加强和促进知名大学和研究中心的资产管理工作而开发的差异化方法的应用。由于大学和研究中心提供给研究人员使用的设备和基础设施系统经常发生意外故障,导致重要的科学研究被中断或浪费。为解决这一问题,本方法结合了资产完整性领域常用的结构化概念和实践。我在不同国家进行实地考察时,将这些独特的概念和做法融入了历时数年编写的综合工程评估报告中。这种整合是在计算机化的维护管理系统中进行的。这一过程的最终目标是最大限度地提高基础设施中使用的关键系统和设备的可靠性和性能,并在国家和国际层面开展高度相关的研究。通过在美国两所主要大学开展的案例研究,对这一创新方法的效率进行了定量和定性分析。正如本文所介绍的,所取得的主要成果包括减少了计划外维修或停机的次数,提高了维护计划的质量和效率,增加了关键研究设备和系统的可靠性和使用寿命,增加了具有适当维护计划的资产数量,以及增强了这些机构所使用的计算机化维护管理系统。这些成果转化为更快地完成科学研究,并获得更可靠的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a methodology for asset integrity management in Universities and Research Centers
This article describes the application of a differentiated methodology that I developed to enhance and facilitate asset management work in renowned universities and research centers. Frequently, important scientific studies and research are interrupted or wasted due to unexpected failures in equipment and infrastructure systems provided by universities and research centers for researchers’ use. To address this issue, this methodology incorporates structured concepts and practices commonly employed in the field of asset integrity. These are uniquely integrated into comprehensive engineering assessment reports developed over several years during my fieldwork in various countries. This integration occurs within a computerized maintenance management system. The ultimate goal of this process is to maximize the reliability and performance of critical systems and equipment used in the infrastructure and conduct of highly relevant research at the national and international levels. Through case studies conducted at two major universities in the United States, the efficiency of this innovative methodology was analyzed quantitatively and qualitatively. As presented in this article, the main results obtained include a reduction in the number of unplanned repairs or shutdowns, improved quality and efficiency of maintenance programs, increased reliability and lifespan of critical research equipment and systems, an increase in the number of assets with an appropriate maintenance plan, and the enhancement of computerized maintenance management systems used by these institutions. These results translate into faster completion of scientific studies and research with more reliable data.
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