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

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

El Souri, Mohammed, Gao, James, Owodunni, Oladele, Simmonds, Clive and Martin, Nick (2017) A structured approach to defect data management for improving DFM implementation in aerospace manufacturing. International Journal of Product Lifecycle Management, 10 (4). ISSN 1743-5110 (Print), 1743-5129 (Online) (In Press) (doi:10.1504/IJPLM.2017.090330)

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Abstract

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 by effectively integrating people, processes, resources and information. 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 building up large amounts of dispersed data and information related to defects throughout the product’s lifecycle, hence inhibiting the ability to make effective use of defect data for the purpose of improving design for manufacturing 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 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.

Item Type: Article
Uncontrolled Keywords: Knowledge management; Product lifecycle management; Design for manufacture; Aerospace, Manufacturing
Subjects: T Technology > TS Manufactures
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Applied Engineering & Management
Faculty of Engineering & Science > Engineering Design in Practice
Last Modified: 03 Sep 2018 11:41
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/18147

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