Publication:
Functional modelling in production engineering workflows

cris.customurl14961
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cris.virtual.departmentbrowseAutomatisierungstechnik
cris.virtual.departmentbrowseAutomatisierungstechnik
cris.virtual.departmentbrowseAutomatisierungstechnik
cris.virtual.departmentbrowseAutomatisierungstechnik
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dc.contributor.authorScholz, André
dc.contributor.authorHildebrandt, Constantin
dc.contributor.authorFay, Alexander
dc.date.issued2017-07-01
dc.description.abstractIn this paper, a model-based approach for the engineering of production systems is presented, which can be used for structuring information about different viewpoints of a system as well as to support the engineering workflow. In an Industry 4.0-context, these models allow the description of the capabilities of machines or even factories from a functional perspective. This information can be used to react quickly on changes in the production environment, caused by product changes or changes in the requirements of the production process, like shorter production times or higher quality of the products. The information model described in this paper supports the adaption of production systems, since the impact of changes can be evaluated in a comprehensive view. Furthermore, the paper shows how the workflow can be designed to effectively plan with the information model. The proposed approach supports the Industry 4.0 related aspects [4] of smart and continuous engineering and horizontal integration.
dc.description.versionNA
dc.identifier.doi10.1109/COASE.2017.8256184
dc.identifier.isbn9781509067800
dc.identifier.issn2161-8089
dc.identifier.issn2161-8070
dc.identifier.scopus2-s2.0-85044963829
dc.identifier.urihttps://openhsu.ub.hsu-hh.de/handle/10.24405/14961
dc.language.isoen
dc.publisherIEEE
dc.relation.conference13th IEEE Conference on Automation Science and Engineering (CASE), 20-23 August 2017 , Xi'an, China
dc.relation.orgunitAutomatisierungstechnik
dc.rights.accessRightsmetadata only access
dc.titleFunctional modelling in production engineering workflows
dc.typeConference paper
dcterms.bibliographicCitation.booktitle2017 13th IEEE Conference on Automation Science and Engineering (CASE)
dcterms.bibliographicCitation.originalpublisherplacePiscataway
dspace.entity.typePublication
hsu.peerReviewed
hsu.uniBibliography
oaire.citation.endPage700
oaire.citation.startPage695
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