dc.contributor.author | Arnarson, Halldor | |
dc.contributor.author | Tahir, Syed Abdur Rahman | |
dc.contributor.author | Shu, Beibei | |
dc.contributor.author | Bremdal, Bernt Arild | |
dc.contributor.author | Solvang, Bjørn | |
dc.date.accessioned | 2025-03-25T08:21:41Z | |
dc.date.available | 2025-03-25T08:21:41Z | |
dc.date.issued | 2024-03-20 | |
dc.description.abstract | Customer demand and profit potential have pushed companies to offer diverse customization options in their products and move
towards mass customization. To move towards mass customization reconfigurable manufacturing systems (RMS) have been prosed
as a solution. However, it comes with challenges, including labor, costs, time, and complexity. Introducing intelligence, smartness
and state-of-the-art industry 4.0 technologies into reconfigurable manufacturing systems (RMS) can be a solution to these challenges. Combining these concepts can be used to develop an intelligent RMS that can be automatically reconfigured without any
human intervention. In this paper, a novel architecture has been proposed that explains all the details from the idealization phase
to design and physical implementation. The architecture covers individual elements of the RMS, introduces the technologies that
enable intelligence and follows through the steps that add up to the complete functionality of the system. In addition, we propose
an intelligent process that automates the reconfiguration phase of our proposal. Based on this architecture and intelligent reconfiguration, a physical demonstration is also presented that shows how the system can be implemented. The constructed system is
demonstrated as an intelligent RMS capable of mass customization without human effort. | en_US |
dc.identifier.citation | Arnarson, Tahir, Shu, Bremdal, Solvang. Intelligent and self-reconfigurable manufacturing system. Procedia Computer Science. 2024;232:2887-2900 | en_US |
dc.identifier.cristinID | FRIDAID 2183050 | |
dc.identifier.doi | https://doi.org/10.1016/j.procs.2024.02.105 | |
dc.identifier.issn | 1877-0509 | |
dc.identifier.uri | https://hdl.handle.net/10037/36768 | |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.journal | Procedia Computer Science | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2024 The Author(s) | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) | en_US |
dc.title | Intelligent and self-reconfigurable manufacturing system | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |