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dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorOchoa, William
dc.contributor.authorLarrinaga, Felix
dc.contributor.authorPerez Riaño, Alain
dc.date.accessioned2023-04-18T07:56:18Z
dc.date.available2023-04-18T07:56:18Z
dc.date.issued2023
dc.identifier.issn1872-7115en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=172455en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6075
dc.description.abstractSmart Manufacturing Systems (SMS) are software systems that identify opportunities for automating manufacturing operations by using Internet of Things (IoT) devices and services connected to machines. An active challenge of SMS is to satisfy the ever-changing conditions of industries, supply networks, and customer needs. To operate effectively, SMS should be flexible enough to perform automatic or semi-automatic adjustments to manufacturing processes in response to unexpected changes, a feature called context awareness. Recent advances in interpreting context data in the semantic web have permitted SMS to understand the active situation of manufacturing processes. This paper presents a literature analysis of context-aware workflow management approaches in the smart manufacturing domain, with a particular focus on semantic web-based approaches published from 2015 to 2022. A Systematic Literature Review (SLR) methodology was applied to analyze the state-of-the-art via the PICOC method. The contributions of this work are (1) an SLR about context-aware workflow management for smart manufacturing systems focusing on semantic web-based approaches, (2) a systematic taxonomy to break down the approaches in conformity based on content and main workflow management function area, and (3) identification of opportunities for improvement in technical features such as context awareness, use case implementation, tools employed, licensing, security, and scalability. A novel architecture and components are also proposed to address the identified active challenges.en
dc.description.sponsorshipComisión Europeaes
dc.language.isoengen
dc.publisherElsevieren
dc.rights© 2023 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectContext-awarenessen
dc.subjectworkflow managementen
dc.subjectSmart manufacturingen
dc.subjectSemantic weben
dc.subjectInternet of Thingsen
dc.titleContext-aware workflow management for smart manufacturing: A literature review of semantic web-based approachesen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceFuture Generation Computer Systemsen
local.contributor.groupIngeniería del software y sistemases
local.contributor.groupRobótica y automatizaciónes
local.description.peerreviewedtrueen
local.description.publicationfirstpage38en
local.description.publicationlastpage55en
local.identifier.doihttps://doi.org/10.1016/j.future.2023.03.017en
local.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/826452/EU/Arrowhead Tools for Engineering of Digitalisation Solutions/Arrowhead Toolsen
local.rights.publicationfeeAPCen
local.rights.publicationfeeamountAcuerdo transformativo Elsevieren
local.source.detailsVol. 145en
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-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International