Publication:
Functional modelling in production engineering workflows

cris.customurl 14961
cris.virtual.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtualsource.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department d27eae86-6d38-489c-b4c3-2eed27fb81cc
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dc.contributor.author Scholz, André
dc.contributor.author Hildebrandt, Constantin
dc.contributor.author Fay, Alexander
dc.date.issued 2017-07-01
dc.description.abstract In 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.version NA
dc.identifier.doi 10.1109/COASE.2017.8256184
dc.identifier.isbn 9781509067800
dc.identifier.issn 2161-8089
dc.identifier.issn 2161-8070
dc.identifier.scopus 2-s2.0-85044963829
dc.identifier.uri https://openhsu.ub.hsu-hh.de/handle/10.24405/14961
dc.language.iso en
dc.publisher IEEE
dc.relation.conference 13th IEEE Conference on Automation Science and Engineering (CASE), 20-23 August 2017, Xi'an, China
dc.relation.orgunit Automatisierungstechnik
dc.rights.accessRights metadata only access
dc.title Functional modelling in production engineering workflows
dc.type Conference paper
dcterms.bibliographicCitation.booktitle 2017 13th IEEE Conference on Automation Science and Engineering (CASE)
dcterms.bibliographicCitation.originalpublisherplace Piscataway
dspace.entity.type Publication
hsu.peerReviewed
hsu.uniBibliography
oaire.citation.endPage 700
oaire.citation.startPage 695
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