DC FieldValueLanguage
dc.contributor.authorMarks, Philipp-
dc.contributor.authorWeyrich, Michael-
dc.contributor.authorHoang, Xuan Luu-
dc.contributor.authorFay, Alexander-
dc.date.accessioned2020-02-26T15:23:31Z-
dc.date.available2020-02-26T15:23:31Z-
dc.date.issued2018-
dc.identifier.citationEnthalten in: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation / IEEE International Conference on Emerging Technologies and Factory Automation 22.. - [Piscataway, NJ] : IEEE, c2017. - 2018, insges. 8 S.de_DE
dc.description.abstractAutomated manufacturing machines need to evolve in order to compete in nowadays turbulent manufacturing environment. This evolution process is achieved by performing different adaptations of the system, i.e. mechanical changes, changes of sensors and actuators, software changes, or a combination thereof. Currently, this adaptation process is mostly based on the experience of experts and is time-consuming and error-prone. This contribution proposes an approach that integrates tool support in the adaptation process to assist the engineer in the overall process. The approach uses a multi agent system in order to analyze production change requests and to generate and evaluate possible adaptation options for the machine based on a mechatronic model of the system including interdependencies between products, processes and resources on parameter-level. Thus, adaptation options can be generated on a fine-grained level. An illustrative example for the concept is given by the application on a modular production system.de_DE
dc.description.sponsorshipAutomatisierungstechnikde_DE
dc.language.isoende_DE
dc.publisherIEEEde_DE
dc.subjectUniversitätsbibliographiede_DE
dc.subjectEvaluation 2018de_DE
dc.subject.ddcDDC::600 Technik, Medizin, angewandte Wissenschaften::600 Technikde_DE
dc.titleAgent-based adaptation of automated manufacturing machinesde_DE
dc.typeConference Objectde_DE
dc.relation.conferenceETFA 2017 - 22nd IEEE International Conference on Emerging Technologies and Factory Automationde_DE
dc.identifier.doi10.1109/ETFA.2017.8247572-
hsu.accessrights.dnbblocked-
dcterms.bibliographicCitation.originalpublisherplacePiscataway, NJde_DE
dcterms.bibliographicCitation.proceedingstitle22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Limassol, Cyprus, 12.-15. Sept. 2017-
hsu.conference.date12.-15.09.2017-
hsu.conference.zaehlung22-
hsu.conference.placeLimassol, Cyprus-
dc.relation.pages8de_DE
dc.identifier.urlhttps://ub.hsu-hh.de/DB=1.8/XMLPRS=N/PPN?PPN=1020750669-
local.submission.typeonly-metadatade_DE
dcterms.bibliographicCitation.isPartOfEnthalten in: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation / IEEE International Conference on Emerging Technologies and Factory Automation 22.. - [Piscataway, NJ] : IEEE, c2017. - 2018, insges. 8 S.-
dc.description.peerReviewedYesde_DE
dc.type.conferenceObjectConference Paperde_DE
item.grantfulltextnone-
item.fulltext_sNo Fulltext-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
crisitem.author.deptAutomatisierungstechnik-
crisitem.author.orcid0000-0002-1922-654X-
crisitem.author.parentorgFakultät für Maschinenbau und Bauingenieurwesen-
Appears in Collections:2018
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