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dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorNguyen Ngoc, Hien
dc.contributor.otherMo, Fan
dc.contributor.otherMarco Monetti, Fabio
dc.contributor.otherTorayev, Agajan
dc.contributor.otherRehman, Hamood Ur
dc.contributor.otherMulet Alberola, Jose A.
dc.contributor.otherMinango, Nathaly Rea
dc.contributor.otherMaffei, Antonio
dc.contributor.otherChaplin, Jack C.
dc.date.accessioned2023-03-20T07:29:59Z
dc.date.available2023-03-20T07:29:59Z
dc.date.issued2023
dc.identifier.issn1433-3015en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=171908en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6042
dc.description.abstractModern manufacturing has to cope with dynamic and changing circumstances. Market fluctuations, the effects caused by unpredictable material shortages, highly variable product demand, and worker availability all require system robustness, flexibility, and resilience. To adapt to these new requirements, manufacturers should consider investigating, investing in, and implementing system autonomy. Autonomy is being adopted in multiple industrial contexts, but divergences arise when formalizing the concept of autonomous systems. To develop an implementation of autonomous manufacturing systems, it is essential to specify what autonomy means, how autonomous manufacturing systems are different from other autonomous systems, and how autonomous manufacturing systems are identified and achieved through the main features and enabling technologies. With a comprehensive literature review, this paper provides a definition of autonomy in the manufacturing context, infers the features of autonomy from different engineering domains, and presents a five-level model of autonomy — associated with maturity levels for the features — to ensure the complete identification and evaluation of autonomous manufacturing systems. The paper also presents the evaluation of a real autonomous system that serves as a use-case and a validation of the model.en
dc.description.sponsorshipComisión Europeaes
dc.language.isoengen
dc.publisherSpringeren
dc.rights© 2023 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDecision-makingen
dc.subjectSelf-learningen
dc.subjectmanufacturingen
dc.subjectdigital twinen
dc.subjectindustry 4.0en
dc.subjectMachine learningen
dc.subjectODS 9 Industria, innovación e infraestructuraes
dc.titleA maturity model for the autonomy of manufacturing systemsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceInternational Journal of Advanced Manufacturing Technologyen
local.contributor.groupIngeniería del software y sistemases
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1007/s00170-023-10910-7en
local.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/814078/EU/Digital Manufacturing and Design Training Network/DiManDen
local.contributor.otherinstitutionhttps://ror.org/01ee9ar58en
local.contributor.otherinstitutionhttps://ror.org/026vcq606en
local.contributor.otherinstitutionTQC Automation Ltd.en
local.contributor.otherinstitutionNational Research Councilen
local.contributor.otherinstitutionhttps://ror.org/02q2d2610en
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International