Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.3960
DC FieldValueLanguage
dc.contributor.authorBrylowski, Martin-
dc.contributor.authorSchwieger, Lea-Sophie-
dc.contributor.authorNagi, Ayman-
dc.contributor.authorKersten, Wolfgang-
dc.date.accessioned2021-12-09T09:07:52Z-
dc.date.available2021-12-09T09:07:52Z-
dc.date.issued2021-12-01-
dc.identifier.citationHamburg International Conference of Logistics (HICL) 31: 65-100 (2021)de_DE
dc.identifier.isbn978-3-754927-70-0de_DE
dc.identifier.issn2365-5070de_DE
dc.identifier.urihttp://hdl.handle.net/11420/11175-
dc.description.abstractPurpose: Additive manufacturing (AM) enables the manufacturing of metal parts and is therefore increasingly important for industry. Unfortunately, the manufactured parts exhibit many imperfections, such as faults or other quality defects. The use of artificial intelligence (AI) allows for the steady optimization of processes, making its potential implementation in AM interesting as it could help to improve processes for industrialization and serial production. Methodology: A systematic review was conducted of the literature on applications of AI in AM. A total of 741 articles published between 2008 and 2020 were scanned to determine whether they described an explicit application of AI in a metalworking process. A detailed analysis yielded 87 relevant sources. Findings: The articles were scanned for existing application areas of AI in AM, including application in the associated value chain phases of AM planning and AM execution. In AM planning, AI is frequently used to support the design process, while in AM execution, AI is mostly used for process monitoring and defect detection. Originality: The applications of AI in AM were investigated by means of a systematic literature review. The resultant findings should provide insights into existing and potential application areas for AI in AM.en
dc.language.isoende_DE
dc.publisherepublide_DE
dc.rightsCC BY-SA 4.0de_DE
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/de_DE
dc.subjectArtificial Intelligencede_DE
dc.subjectBlockchainde_DE
dc.subject.ddc330: Wirtschaftde_DE
dc.titleHow to apply artificial intelligence in the additive value chain : a systematic literature reviewde_DE
dc.typeinProceedingsde_DE
dc.identifier.doi10.15480/882.3960-
dc.type.dinicontributionToPeriodical-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.0161720-
tuhh.oai.showtruede_DE
tuhh.abstract.englishPurpose: Additive manufacturing (AM) enables the manufacturing of metal parts and is therefore increasingly important for industry. Unfortunately, the manufactured parts exhibit many imperfections, such as faults or other quality defects. The use of artificial intelligence (AI) allows for the steady optimization of processes, making its potential implementation in AM interesting as it could help to improve processes for industrialization and serial production. Methodology: A systematic review was conducted of the literature on applications of AI in AM. A total of 741 articles published between 2008 and 2020 were scanned to determine whether they described an explicit application of AI in a metalworking process. A detailed analysis yielded 87 relevant sources. Findings: The articles were scanned for existing application areas of AI in AM, including application in the associated value chain phases of AM planning and AM execution. In AM planning, AI is frequently used to support the design process, while in AM execution, AI is mostly used for process monitoring and defect detection. Originality: The applications of AI in AM were investigated by means of a systematic literature review. The resultant findings should provide insights into existing and potential application areas for AI in AM.de_DE
tuhh.publisher.urlhttps://www.epubli.de/shop/buch/Adapting-to-the-Future-Christian-M-Ringle-Thorsten-Blecker-Wolfgang-Kersten-9783754927700/121489-
tuhh.publication.instituteLogistik und Unternehmensführung W-2de_DE
tuhh.identifier.doi10.15480/882.3960-
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
tuhh.gvk.hasppnfalse-
tuhh.hasurnfalse-
dc.type.drivercontributionToPeriodical-
dc.type.casraiConference Paper-
tuhh.container.startpage65de_DE
tuhh.container.endpage100de_DE
dc.relation.conferenceHamburg International Conference of Logistics (HICL) 2021de_DE
dc.rights.nationallicensefalsede_DE
tuhh.relation.ispartofseriesProceedings of the Hamburg International Conference of Logistics (HICL)de_DE
tuhh.relation.ispartofseriesnumber31de_DE
dc.identifier.scopus2-s2.0-85127626014de_DE
local.contributorPerson.editorKersten, Wolfgang-
local.contributorPerson.editorRingle, Christian M.-
local.contributorPerson.editorBlecker, Thorsten-
local.status.inpressfalsede_DE
local.type.versionpublishedVersionde_DE
local.publisher.peerreviewedtruede_DE
datacite.resourceTypeConference Paper-
datacite.resourceTypeGeneralText-
item.openairetypeinProceedings-
item.creatorOrcidBrylowski, Martin-
item.creatorOrcidSchwieger, Lea-Sophie-
item.creatorOrcidNagi, Ayman-
item.creatorOrcidKersten, Wolfgang-
item.tuhhseriesidProceedings of the Hamburg International Conference of Logistics (HICL)-
item.contributorGNDKersten, Wolfgang-
item.contributorGNDRingle, Christian M.-
item.contributorGNDBlecker, Thorsten-
item.contributorOrcidKersten, Wolfgang-
item.contributorOrcidRingle, Christian M.-
item.contributorOrcidBlecker, Thorsten-
item.grantfulltextopen-
item.creatorGNDBrylowski, Martin-
item.creatorGNDSchwieger, Lea-Sophie-
item.creatorGNDNagi, Ayman-
item.creatorGNDKersten, Wolfgang-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.seriesrefProceedings of the Hamburg International Conference of Logistics (HICL);31-
item.mappedtypeinProceedings-
crisitem.author.deptLogistik und Unternehmensführung W-2-
crisitem.author.deptLogistik und Unternehmensführung W-2-
crisitem.author.deptLogistik und Unternehmensführung W-2-
crisitem.author.orcid0000-0002-5880-2642-
crisitem.author.orcid0000-0003-0894-4121-
crisitem.author.parentorgStudiendekanat Management-Wissenschaften und Technologie (W)-
crisitem.author.parentorgStudiendekanat Management-Wissenschaften und Technologie (W)-
crisitem.author.parentorgStudiendekanat Management-Wissenschaften und Technologie (W)-
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