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dc.contributor.authorMartins, André
dc.contributor.authorLucas, João
dc.contributor.authorCostelha, Hugo
dc.contributor.authorNeves, Carlos
dc.date.accessioned2023-07-11T10:31:31Z
dc.date.available2023-07-11T10:31:31Z
dc.date.copyright2023
dc.date.issued2023-06-07
dc.identifier.citationMartins, A., Lucas, J., Costelha, H. and Neves, C. (2023) CNC Machines Integration in Smart Factories using OPC UA, Journal of Industrial Information Integration, 34(100482), pp. 1-11. https://doi.org/10.1016/j.jii.2023.100482en_US
dc.identifier.urihttps://research.thea.ie/handle/20.500.12065/4563
dc.description.abstractThis paper examines the idea of Industry 4.0 from the perspective of the molds industry, a vital industry in today’s industrial panorama. Several technologies, particularly in the area of machining equipment, have been introduced as a result of the industry’s constant modernization. This technological diversity makes automatic interconnection with production management software extremely difficult, as each brand and model requires different, mostly proprietary, interfaces and communication protocols. In the methodology presented in this paper, a development of monitoring solutions for machining devices is defined supporting the leading equipment and operations used by molds industry companies. OPC UA is employed for high-level communication between the various systems for a standardized approach. The approach combines various machine interfaces on a single system to cover a significant subset of machining equipment currently used by the molds industry, as a key result of this paper and given the variety of monitoring systems and communication protocols. This type of all-in-one approach will provide production managers with the information they need to monitor and improve the complete manufacturing process.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofJournal of Industrial Information Integrationen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectEquipment integrationen_US
dc.subjectSmart factoryen_US
dc.subjectIndustry 4.0en_US
dc.subjectOPC UAen_US
dc.subjectMachine monitoringen_US
dc.subjectComputer numeric controlen_US
dc.titleCNC Machines Integration in Smart Factories using OPC UAen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.contributor.affiliationTechnological University of the Shannon: Midlands Midwesten_US
dc.description.peerreviewyesen_US
dc.identifier.doi10.1016/j.jii.2023.100482en_US
dc.identifier.eissn2452-414X
dc.identifier.endpage11en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2563-6596en_US
dc.identifier.startpage1en_US
dc.identifier.volume34en_US
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.departmentDepartment of Electrical & Electronic Engineeringen_US
dc.type.versioninfo:eu-repo/semantics/publishedVersionen_US


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States