Increasing the effectiveness of FRACAS

M. Ciemian
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引用次数: 6

Abstract

Failure Reporting, Analysis, and Corrective Action Systems (FRACAS) are employed in many different product areas in both the commercial and military marketplace. FRACAS has been surveyed as the most important reliability task that can be performed on a program. Typically, a FRACAS system consists of a database that captures and documents field failures, depot returns, failure analysis / investigations, and corrective actions. Trends and data from a FRACAS system are used to drive reliability and performance improvements on a program. These improvements are the over arching goal of FRACAS. This paper addresses a FRACAS system in general and as employed by AAI Corporation, the contractor on the U.S. ARMY Shadowreg tactical unmanned aircraft system. (Shadowreg TUAS) Emphasis is placed on data collection, evaluation, and analysis on a medium volume program or product. This paper does not address the merits of the various commercial software packages, but rather shows a philosophy and strategy that can be used to create an effective FRACAS system (which will consist of more than just a failure and corrective action database) in a real world non-ideal data environment.
提高FRACAS的有效性
故障报告、分析和纠正措施系统(FRACAS)应用于商业和军事市场的许多不同产品领域。FRACAS被认为是一个项目中最重要的可靠性任务。通常,FRACAS系统包括一个数据库,用于捕获和记录现场故障、仓库退货、故障分析/调查以及纠正措施。来自FRACAS系统的趋势和数据用于驱动项目的可靠性和性能改进。这些改进是FRACAS的首要目标。本文介绍了美国陆军Shadowreg战术无人机系统承包商AAI公司所采用的FRACAS系统。(Shadowreg TUAS)重点放在中型程序或产品的数据收集、评估和分析上。本文并没有讨论各种商业软件包的优点,而是展示了在现实世界的非理想数据环境中用于创建有效的FRACAS系统(它将不仅仅包括故障和纠正措施数据库)的理念和策略。
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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