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Improving design for manufacturing implementation in knowledge intensive collaborative environments - An analysis of organisational factors in aerospace manufacturing

Improving design for manufacturing implementation in knowledge intensive collaborative environments - An analysis of organisational factors in aerospace manufacturing

El Souri, Mohammed, Gao, James, Owodunni, Oladele, Simmonds, Clive and Martin, Nick (2017) Improving design for manufacturing implementation in knowledge intensive collaborative environments - An analysis of organisational factors in aerospace manufacturing. In: 2017 IEEE Technology & Engineering Management Conference (TEMSCON). IEEE. ISBN 978-1-5090-1115-5 ISSN 978-1-5090-1114-8 (Online) (doi:10.1109/TEMSCON.2017.7998417)

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Abstract

Today, the manufacturing industry is under pressure to be able to rapidly come up with innovative designs and produce them in much shorter timeframes in order to keep up with growing customer demands and quickly gain new business. One of the ways used to achieve shorter time to markets for new product developments is by using design for manufacturing (DFM) methods to reduce time and energy going into resolving manufacturing based defects. It is also more vital in today’s manufacturing industry to make use of DFM methods much earlier in the product development lifecycle in order to prevent potentially known quality defects from happening and save on costs associated with late design changes. This requires enabling a more systemic feedback cycle of production data for the creation of DFM knowledge repositories as well as overcoming some wider knowledge sharing barriers across the organization. This investigation focuses on how the communications of manufacturing knowledge from production data is affected by factors within the overall organization. The investigation is one of the few that consider the influence of organizational factors on the communication of engineering knowledge as well as the related knowledge sharing barriers. The project is carried out empirically with a large UK based aerospace manufacturing company by gathering data primarily from observations and interviews. This paper presents the findings followed by discussions for improving DFM Knowledge Management in the aerospace industry.

Item Type: Conference Proceedings
Title of Proceedings: 2017 IEEE Technology & Engineering Management Conference (TEMSCON)
Additional Information: Conference was held at Santa Clara, California, USA, from 8-10 June 2017.
Uncontrolled Keywords: Knowledge management; Design for manufacture; Aerospace industry; Manufacturing.
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
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: 19 Oct 2017 16:24
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/17776

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