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A design for manufacturing methodology using defects knowledge for aerospace product manufacturing

A design for manufacturing methodology using defects knowledge for aerospace product manufacturing

Elsouri, Mohammed ORCID: 0000-0002-9651-7770, Gao, James ORCID: 0000-0001-5625-3654, Simmonds, Clive and Martin, Nick (2021) A design for manufacturing methodology using defects knowledge for aerospace product manufacturing. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. ISSN 0954-4054 (Print), 2041-2975 (Online) (In Press) (doi:https://doi.org/10.1177/09544054211007642)

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Abstract

Defects generated by the UK supply chain is much higher than its global competitors. Defects impact costs and production throughput due to unpredictable disruptions resulting in many non-value adding activities. However, defects data associated knowledge have rarely been considered and implemented as the manufacturing capability in existing design for manufacturing and assembly (DFMA) data/knowledge bases. On the other hand, current ICT systems used in the aerospace industry are not flexible enough to keep up with the new requirements of collaborating to manage knowledge properly, and the use of real-time manufacturing data generated in manufacturing activities. This research was carried out in collaboration with one of the UK’s largest aerospace companies in order to analyse the complexity of design and manufacturing activities of high-value safety-critical aerospace products. The results of the work are presented, and a novel approach and system was developed, that can be used to support DFMA using defects knowledge. The approach was implemented as a knowledge management system using collaborative design principles. Key findings from the main contribution in the context of extended enterprises of high value low volume safety critical product manufacturing are discussed.

Item Type: Article
Uncontrolled Keywords: manufacturing defects, design for manufacturing and assembly, aerospace manufacturing, knowledge management
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Design, Manufacturing and Innovative Products Research Theme
Faculty of Engineering & Science > School of Engineering (ENN)
Last Modified: 10 May 2021 14:55
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/31972

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