<div class="csl-bib-body">
<div class="csl-entry">Öhlinger, F., Greimel, L., Glawar, R., & Sihn, W. (2022). An approach for AI-based forecasting of maintenance orders for MRO scheduling. In A. Bernard, A. Dolgui, H. HADDOU BENDERBAL, D. Ivanov, & F. Sgarbossa (Eds.), <i>IFAC-PapersOnLine</i> (pp. 2312–2317). https://doi.org/10.1016/j.ifacol.2022.10.053</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/136383
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dc.description.abstract
Maintenance orders are difficult to plan and require a high degree of flexibility, because both the extent of the activity ("What needs to be done?"), the scheduling ("When is the repair to be carried out?") and spatial restrictions ("Where is the repair to be carried out?") are largely unknown at the beginning of an order. All this results in a wide-spread reactive maintenance coordination in the industry instead of an efficient proactive maintenance planning of the diverse process. This not only leads to losses in the form of waiting and downtimes, but the lack of transparency both in the utilization situation and about the status of each order leads to delivery date difficulties and wasted resources. In order to decisively improve the status quo, it is indispensable to improve the accuracy of information on the above-mentioned questions as soon as possible after receiving the order. In this paper, an approach for the application of AI in MRO scheduling is presented including the line of research which needs to be done to enable a holistic planning optimization with decision support.
en
dc.language.iso
en
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dc.subject
maintenance
en
dc.subject
repair
en
dc.subject
overhaul
en
dc.subject
artificial intelligence
en
dc.subject
scheduling
en
dc.subject
knowledge-based systems
en
dc.title
An approach for AI-based forecasting of maintenance orders for MRO scheduling
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.editoraffiliation
IMT Atlantique Nantes FR
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dc.relation.doi
10.1016/j.ifacol.2022.10.053
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dc.description.startpage
2312
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dc.description.endpage
2317
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dcterms.dateSubmitted
2022
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
2405-8963
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tuw.booktitle
IFAC-PapersOnLine
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tuw.container.volume
10
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tuw.peerreviewed
true
-
tuw.book.ispartofseries
55
-
tuw.relation.ispartof
10.1016/j.ifacol.2022.10.053
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tuw.publication.invited
invited
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tuw.researchTopic.id
X1
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tuw.researchTopic.name
Beyond TUW-research foci
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tuw.researchTopic.value
100
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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.ifacol.2022.10.053
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dc.description.numberOfPages
6
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tuw.editor.orcid
0000-0003-0527-4716
-
tuw.editor.orcid
0000-0001-8627-0957
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tuw.editor.orcid
0000-0002-9541-3515
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tuw.event.name
10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022
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tuw.event.startdate
22-06-2022
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tuw.event.enddate
24-06-2022
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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
Nantes
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tuw.event.country
FR
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tuw.event.presenter
Öhlinger, Florian
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wb.sciencebranch
Informatik
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wb.sciencebranch
Wirtschaftswissenschaften
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wb.sciencebranch
Sonstige Technische Wissenschaften
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
5020
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wb.sciencebranch.oefos
2119
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wb.sciencebranch.value
20
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wb.sciencebranch.value
50
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wb.sciencebranch.value
30
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item.openairetype
Inproceedings
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item.openairetype
Konferenzbeitrag
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item.grantfulltext
restricted
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item.cerifentitytype
Publications
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item.cerifentitytype
Publications
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item.languageiso639-1
en
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.fulltext
no Fulltext
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crisitem.author.dept
E311 - Institut für Fertigungstechnik und Photonische Technologien
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crisitem.author.dept
E330 - Institut für Managementwissenschaften
-
crisitem.author.dept
E330 - Institut für Managementwissenschaften
-
crisitem.author.dept
E330 - Institut für Managementwissenschaften
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crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften
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crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften
-
crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften
-
crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften