Digital twin integration in multi-agent cyber physical manufacturing systems

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dc.contributor.authorLatsou, Christina
dc.contributor.authorFarsi, Maryam
dc.contributor.authorErkoyuncu, John Ahmet
dc.contributor.authorMorris, Geoffrey
dc.date.accessioned2022-01-18T11:57:33Z
dc.date.available2022-01-18T11:57:33Z
dc.date.issued2021-11-09
dc.description.abstractComplex manufacturing and supply chain systems consist of concurrent labour-intensive processes and procedures with repetitive time-consuming tasks and multiple quality checks. These features may pose challenges for the efficient operation and management, while manual tasks may significantly increase human errors or near misses, having impact on the propagation of effects and parallel interactions within these systems. In order to handle the aforementioned challenges, a digital twin (DT) integrated in a multi-agent cyber-physical manufacturing system (CPMS) with the help of RFID technology is proposed. The proposed reference architecture tends to improve the trackability and traceability of complex manufacturing processes. In this research work, the interactions occurring both within a single complex manufacturing system and between multiple sites within a supply chain are considered. For the implementation of the integrated DT-CPMS, a simulation model employing the agent-based modelling technique is developed. A case study from a cryogenic supply chain in the UK is also selected to show the application and validity of the proposed digital solution. The results prove that the DT-CPMS architecture can improve system’s performance in terms of human, equipment and space utilisations.en_UK
dc.identifier.citationLatsou C, Farsi M, Erkoyuncu JA, Morris G. (2021) Digital twin integration in multi-agent cyber physical manufacturing systems. IFAC-PapersOnLine, Volume 54, Issue 1, 2021, pp. 811-816en_UK
dc.identifier.issn2405-8963
dc.identifier.urihttps://doi.org/10.1016/j.ifacol.2021.08.096
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17420
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDigital Twinen_UK
dc.subjectCyber-Physical Systemen_UK
dc.subjectRFIDen_UK
dc.subjectAgent-based modellingen_UK
dc.subjectComplex manufacturingen_UK
dc.titleDigital twin integration in multi-agent cyber physical manufacturing systemsen_UK
dc.typeArticleen_UK

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