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A structured approach to defect data management for improving DFM implementation in aerospace manufacturing

机译:一种缺陷数据管理的结构化方法,用于改进航空航天制造中的DFM实现

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摘要

The aim of adopting product lifecycle management in a highly product centric knowledge environment is to reduce product development time and costs whilst improving quality through integrating people, processes, resources and information effectively. In the aerospace industry, most products and systems are manufactured, delivered to customers and serviced over an extensively long time, typically 20 years or more. This results in the build-up of large amounts of dispersed data and information related to defects throughout the different product's lifecycle stages, hence inhibiting the ability to make effective use of defect data to improve design for manufacturing (DFM) implementation. There have been very limited research efforts aiming to overcome these challenges in the low volume high value aerospace manufacturing context. This paper presents the findings of an extensive industrial investigation carried out at BAE systems (Rochester, UK) to identify the gaps and requirements in the industrial practice and proposes the need for a structured approach to defect data management in order to establish the systematic link between the defects, engineering data, and related issues within PLM system context.
机译:采用产品生命周期管理在高度产品中心的知识环境中的目的是通过有效地整合人,流程,资源和信息,从而降低产品开发时间和成本。在航空航天行业,大多数产品和系统都是制造的,向客户提供,并在广泛的时间内提供服务,通常为20年或更长时间。这导致大量分散数据和与整个不同产品的生命周期阶段相关的信息的积累,因此抑制能够有效利用缺陷数据来改善制造(DFM)实施的设计。旨在克服低批量高价值航空航天制造背景下的这些挑战存在非常有限的研究努力。本文提出了在BAE系统(英国罗切斯特)开展的广泛工业调查的调查结果,以确定工业实践中的差距和要求,并提出需要一种结构化方法来缺勤数据管理,以便建立系统的系统联系PLM系统上下文中的缺陷,工程数据和相关问题。

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