生产制造中的敏捷FRACAS

Jason D. Tanner
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引用次数: 2

摘要

本文为敏捷故障报告、分析和纠正措施系统(FRACAS)的实施提供了一个详细而有条不紊的方法。重要的是,用户已经拥有数据收集和FRACAS活动管理的工具,以便完成这一方法主张。该方法是一种数据驱动的方法,用于收集故障信息并以最大效率利用/分配资源。目前的FRACAS方法是相当基础的,不能让数据引导程序实现任务和资源的优先级。根据MIL-STD-2155[1],故障审查委员会(FRB)是审查故障趋势、纠正措施状态并确保采取适当纠正措施的主要机制。此外,它简单地描述了失败报告,因为它与单个失败项有关,而不一定与失败趋势和过程问题有关。文件中没有具体的内容来推动高速率生产制造环境利用故障趋势信息来识别高价值/批量故障,从而开发对根本原因和纠正措施(RCCA)进行调查的需求。该建议在以下假设/步骤下工作:存在捕获故障信息和数据的方法2。该程序可以适当地将生产制造问题与其他非生产制造问题区分开来,如开发与验证测试、资格测试、任务测试等。领导不仅要同意这个过程,而且要扮演倡导者的角色。采用并介绍了适当的风险分析和故障树分析技术5。已经存在一个适当的命令媒体流程,用于记录实现需求
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agile FRACAS in Production Manufacturing
SummaryThis paper provides a detailed and methodical approach towards the implementation of an agile Failure Reporting, Analysis and Corrective Action System (FRACAS). It is important that the user already have tools in place for data collection, and for the management of FRACAS activities so that this methodological proposition can be accomplished. The method is a data-driven approach to collecting failure information and utilizing / allocating resources with maximum efficiency. Current FRACAS methods are fairly basic and not set up to allow the data to lead a program towards task and resource prioritization. Per MIL-STD-2155 [1], a Failure Review Board (FRB) is the primary mechanism for the review of failure trends, corrective action status, and to assure adequate corrective actions are taken. Additionally, it describes failure reporting simplistically as it pertains to individual failed items, not necessarily to failure trends and process issues. There is nothing specific in the document to drive high-rate production manufacturing environments towards utilizing failure trend information to identify high value / volume failures, thus developing the needs for an investigation into Root Cause and Corrective Action (RCCA). This proposal works under the following assumptions/steps:1.There exists a method to capture failure information and data2.The program can properly delineate production manufacturing issues from other non-production manufacturing issues, such as Development & Verification Testing, Qualification Testing, Mission Testing, etc.3.Leadership is not just in agreement with the process, but will act as an advocate4.Appropriate risk analysis and fault tree analysis techniques are utilized and presented5.An appropriate command media process already exists for the documentation of implementation requirements
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