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Objective detection ranking guidelines for performing process failure mode and effects analysis

机译:客观检测执行流程失败模式和效果分析的排序准则

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Process Failure Mode and Effects Analysis (FMEA) has become an important tool for identifying potential weaknesses in manufacturing processes. The Automotive Industry Action Group (AIAG) has published guidelines that help ensure that Process FMEAs are developed and interpreted in a consistent fashion. These guidelines, while very helpful, are still open to broad interpretation, and need further development and improvement, especially in the area of detection rankings. The current detection ranking criteria are very subjective, difficult to apply in a consistent fashion, and can easily be used to skew Risk Priority Number results. This paper will describe revisions to the guidelines for detection rankings that have been successfully used in developing Process FMEAs for automotive manufacturing processes. The revised guidelines are based on a number of factors including whether the cause or the failure is detected, the distance from the source, and the type of inspection used (manual or automated). The improved guidelines yield many benefits: 1) they make the tool easier to understand and use, especially for first-time practitioners; 2) they provide a direct relationship between the FMEA tool and the manufacturing environment; and 3) they ensure greater consistency in the creation and interpretation of Process FMEAs. Ultimately, the improved guidelines help ensure higher quality processes and products for all customers.
机译:工艺故障模式和效果分析(FMEA)已成为识别制造过程中潜在弱点的重要工具。汽车行业行动组(AIAG)已发表有助于确保以一致方式开发和解释过程FMEA的指导方针。这些指导方针虽然非常有帮助,但仍然对广泛的解释仍然开放,并需要进一步的发展和改进,特别是在检测排名领域。目前的检测排名标准是非常主观的,难以以一致的方式应用,并且可以很容易地用于歪斜风险优先级结果。本文将描述对已成功用于开发汽车制造过程的过程FMES的检测排名指南的修订。修订后的指导方针基于许多因素,包括是否检测到原因或故障,从源的距离以及所使用的检查类型(手动或自动化)。改进的准则产生了许多益处:1)他们使工具更容易理解和使用,特别是对于首次从业者; 2)他们提供了FMEA工具和制造环境之间的直接关系; 3)他们确保了对过程FMEA的创建和解释的更大一致性。最终,改进的指南有助于确保所有客户的更高质量的过程和产品。

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