<div class="csl-bib-body">
<div class="csl-entry">Nemeth, T., Ansari, F., Sihn, W., Haslhofer, B., & Schindler, A. (2018). PriMa-X: A reference model for realizing prescriptive maintenance and assessing its maturity enhanced by machine learning. In L. Wang (Ed.), <i>51st CIRP Conference on Manufacturing Systems</i> (pp. 1039–1044). Elsevier BV. https://doi.org/10.1016/j.procir.2018.03.280</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/145145
-
dc.description.abstract
The digital transformation already has a strong impact on manufacturing techniques and processes and requires novel data-driven maintenance strategies and models, which support prompt and effective decision-making. This poses new requirements, challenges and opportunities for securing and improving machine availability and process stability. This paper builds on the concept of prescriptive maintenance and proposes a reference model that (i) supports the implementation of a prescriptive maintenance strategy and the assessment of its maturity level, (ii) facilitates the integration of data-science methods for predicting future events, and (iii) identifies action fields to reach an enhanced target maturity state and thus higher prediction accuracy.
en
dc.language.iso
en
-
dc.relation.ispartofseries
Procedia CIRP
-
dc.subject
General Materials Science
-
dc.subject
reference model
-
dc.subject
cyber physcial production systems
-
dc.subject
prescriptive maintenance
-
dc.subject
data science
-
dc.subject
maturity
-
dc.title
PriMa-X: A reference model for realizing prescriptive maintenance and assessing its maturity enhanced by machine learning
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.publication
51st CIRP Conference on Manufacturing Systems
-
dc.relation.issn
2212-8271
-
dc.description.startpage
1039
-
dc.description.endpage
1044
-
dc.type.category
Full-Paper Contribution
-
tuw.booktitle
51st CIRP Conference on Manufacturing Systems
-
tuw.container.volume
72
-
tuw.peerreviewed
true
-
tuw.book.ispartofseries
Procedia CIRP
-
tuw.relation.publisher
Elsevier BV
-
tuw.researchTopic.id
I6a
-
tuw.researchTopic.id
I3
-
tuw.researchTopic.name
Digital Transformation in Manufacturing
-
tuw.researchTopic.name
Automation and Robotics
-
tuw.researchTopic.value
50
-
tuw.researchTopic.value
50
-
tuw.publication.orgunit
E330-02-1 - Forschungsgruppe Smart and Knowledge Based Maintenance
-
tuw.publication.orgunit
E330-02 - Forschungsbereich Betriebstechnik, Systemplanung und Facility Management
-
tuw.publisher.doi
10.1016/j.procir.2018.03.280
-
dc.description.numberOfPages
6
-
tuw.event.name
51st CIRP Conference on Manufacturing Systems
-
tuw.event.startdate
16-05-2018
-
tuw.event.enddate
18-05-2018
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Stockholm
-
tuw.event.country
EU
-
tuw.event.presenter
Nemeth, Tanja
-
wb.sciencebranch
Wirtschaftswissenschaften
-
wb.sciencebranch.oefos
5020
-
wb.facultyfocus
Produktionssysteme und Industrial Management
de
wb.facultyfocus
Produktionssysteme und Industrial Management
en
wb.facultyfocus.faculty
E300
-
item.grantfulltext
restricted
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
item.fulltext
no Fulltext
-
item.openairetype
conference paper
-
item.cerifentitytype
Publications
-
item.languageiso639-1
en
-
crisitem.author.dept
E330 - Institut für Managementwissenschaften
-
crisitem.author.dept
E330-02-1 - Forschungsgruppe Smart and Knowledge Based Maintenance
-
crisitem.author.dept
E330 - Institut für Managementwissenschaften
-
crisitem.author.orcid
0000-0002-2705-0396
-
crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften
-
crisitem.author.parentorg
E330-02 - Forschungsbereich Betriebstechnik, Systemplanung und Facility Management
-
crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften