<div class="csl-bib-body">
<div class="csl-entry">Karner, M., Glawar, R., Sihn, W., & Matyas, K. (2019). An industry-oriented approach for machine condition-based production scheduling. In <i>Proceedings of the 52nd CIRP Conference on Manufactoring Systems (CMS)</i> (pp. 938–943). Elsevier BV. https://doi.org/10.1016/j.procir.2019.03.231</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/95156
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dc.description.abstract
Condition Monitoring (CM) and production planning and scheduling (PPS) are well-known and broadly discussed topics. Considering a machine's condition within short-term PPS may lead to a more realistic model of a production system and is therefore supporting production planners at their complex tasks of scheduling and sequencing. Despite the foreseeable benefits, integration of CM and PPS has been largely neglected in the literature of production management. This paper provides a technique for measuring machine conditions appropriate for an integration within PPS which is applied at an industrial use-case. Hence, the paper contributes to the development of condition-based PPS.
en
dc.language.iso
en
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dc.relation.ispartofseries
Procedia CIRP
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dc.subject
General Materials Science
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dc.subject
condition monitoring
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dc.subject
production planning and scheduling
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dc.subject
condition-based scheduling
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dc.title
An industry-oriented approach for machine condition-based production scheduling
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
Proceedings of the 52nd CIRP Conference on Manufactoring Systems (CMS)
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dc.relation.issn
2212-8271
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dc.description.startpage
938
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dc.description.endpage
943
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the 52nd CIRP Conference on Manufactoring Systems (CMS)
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tuw.container.volume
81
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tuw.peerreviewed
true
-
tuw.book.ispartofseries
Procedia CIRP
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tuw.relation.publisher
Elsevier BV
-
tuw.publication.orgunit
E330-02-1 - Forschungsgruppe Smart and Knowledge Based Maintenance
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tuw.publication.orgunit
E330-02 - Forschungsbereich Betriebstechnik, Systemplanung und Facility Management
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tuw.publisher.doi
10.1016/j.procir.2019.03.231
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dc.description.numberOfPages
6
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tuw.event.name
52nd CIRP Conference on Manufacturing Systems
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tuw.event.startdate
12-06-2019
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tuw.event.enddate
14-06-2019
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Ljubljana
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tuw.event.country
SI
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tuw.event.presenter
Karner, Matthias
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wb.sciencebranch
Wirtschaftswissenschaften
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wb.sciencebranch.oefos
5020
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wb.facultyfocus
Außerhalb der primären Forschungsgebiete der Fakultät
de
wb.facultyfocus
Outside the Faculty's primary research activities
en
item.languageiso639-1
en
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item.openairetype
conference paper
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.fulltext
no Fulltext
-
item.grantfulltext
none
-
item.cerifentitytype
Publications
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crisitem.author.dept
TU Wien
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crisitem.author.dept
E330 - Institut für Managementwissenschaften
-
crisitem.author.dept
E330 - Institut für Managementwissenschaften
-
crisitem.author.dept
E330-02-1 - Forschungsgruppe Smart and Knowledge Based Maintenance
-
crisitem.author.orcid
0009-0005-9685-9526
-
crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften
-
crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften
-
crisitem.author.parentorg
E330-02 - Forschungsbereich Betriebstechnik, Systemplanung und Facility Management