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Autonomous mobile robots in high occupancy aerospace manufacturing

Autonomous mobile robots in high occupancy aerospace manufacturing

Martin, Lancelot, Gao, James ORCID: 0000-0001-5625-3654, Wilson, Alister, Le, Chi Hieu ORCID: 0000-0002-5168-2297 and Ree, Marcus de (2021) Autonomous mobile robots in high occupancy aerospace manufacturing. In: Advances in Manufacturing Technology XXXIV. Advances in Transdisciplinary Engineering, 15 . IOS Press, Netherlands, pp. 133-138. ISBN 978-1643681986 ISSN 2352-751X (Print), 2352-7528 (Online) (doi:https://doi.org/10.3233/ATDE210025)

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Abstract

Using a combination of active Radio-Frequency Identification tracking and staff interviews with members from an aerospace manufacturing company, it was uncovered that over 80 hours per week was spent in the manual movement of goods between departments. On a site of over 1000 employees that uses dedicated build cells in separated departments, this mixed-use facility proves challenging for the adoption of an autonomous delivery system due to its narrow corridors and high occupancy, however by investigating the concerns of employees and suggesting low-cost retroactive solutions, this project seeks to justify the transition from manual to automated onsite logistics. The conclusion found that indeed the company does have the transport yields to justify the use of Autonomous Mobile Robots, that the robots would supplement rather than replace workers and that safety was a key factor to address when using robots on a site of this configuration.

Item Type: Conference Proceedings
Title of Proceedings: Advances in Manufacturing Technology XXXIV
Uncontrolled Keywords: autonomous mobile robot, automatic guided vehicle, active radio- frequency identification, onsite logistics, global navigation, industry 4.0, Internet of Things
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / School / Research Centre / 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)
Related URLs:
Last Modified: 05 Oct 2021 14:12
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/33679

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