<div class="csl-bib-body">
<div class="csl-entry">Schweiger, G., Gomes, C., Engel, G., Hafner, I., Schöggl, J., Posch, A., & Nouidui, T. (2019). An empirical survey on co-simulation: Promising standards, challenges and research needs. <i>Simulation Modelling Practice and Theory</i>, <i>95</i>, 148–163. https://doi.org/10.1016/j.simpat.2019.05.001</div>
</div>
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dc.identifier.issn
1569-190X
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/144053
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dc.description.abstract
Co-simulation is a promising approach for the modelling and simulation of complex systems, that makes use of mature simulation tools in the respective domains. It has been applied in various different domains, oftentimes without a comprehensive study of the impact to the simulation results. As a consequence, over the recent years, researchers have set out to understand the essential challenges arising from the application of this technique. This paper complements the existing surveys in that the social and empirical aspects were addressed. More than 50 experts participated in a two-stage Delphi study to determine current challenges, research needs and promising standards and tools. Furthermore, an analysis of the strengths, weakness, opportunities and threats of co-simulation utilizing the analytic hierarchy process resulting in a SWOT-AHP analysis is presented. The empirical results of this study show that experts consider the FMI standard to be the most promising standard for continuous time, discrete event and hybrid co-simulation. The results of the SWOT-AHP analysis indicate that factors related to strengths and opportunities predominate.
en
dc.language.iso
en
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dc.relation.ispartof
Simulation Modelling Practice and Theory
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dc.subject
Modeling
en
dc.subject
Co-simulation
en
dc.subject
Simulation
en
dc.subject
Delphi method
en
dc.subject
Empirical survey
en
dc.title
An empirical survey on co-simulation: Promising standards, challenges and research needs
en
dc.type
Artikel
de
dc.type
Article
en
dc.contributor.affiliation
Graz University of Technology, Austria
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dc.contributor.affiliation
University of Antwerp, Belgium
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dc.contributor.affiliation
Graz University of Technology, Austria
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dc.contributor.affiliation
Dwh GmbH - Simulation Services and Technical Solutions, Austria
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dc.contributor.affiliation
KTH Royal Institute of Technology, Sweden
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dc.contributor.affiliation
University of Graz, Austria
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dc.contributor.affiliation
Lawrence Berkeley National Laboratory, United States of America (the)
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dc.description.startpage
148
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dc.description.endpage
163
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dc.type.category
Original Research Article
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tuw.container.volume
95
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
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wb.publication.intCoWork
International Co-publication
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tuw.researchTopic.id
C6
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tuw.researchTopic.name
Modelling and Simulation
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
Simulation Modelling Practice and Theory
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tuw.publication.orgunit
E194-01 - Forschungsbereich Software Engineering
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tuw.publisher.doi
10.1016/j.simpat.2019.05.001
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dc.identifier.eissn
1878-1462
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dc.description.numberOfPages
16
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tuw.author.orcid
0000-0003-2692-9742
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wb.sci
true
-
wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1010
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wb.facultyfocus
Information Systems Engineering (ISE)
de
wb.facultyfocus
Information Systems Engineering (ISE)
en
wb.facultyfocus.faculty
E180
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item.openairetype
research article
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item.languageiso639-1
en
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item.cerifentitytype
Publications
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item.fulltext
no Fulltext
-
item.grantfulltext
restricted
-
item.openairecristype
http://purl.org/coar/resource_type/c_2df8fbb1
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crisitem.author.dept
Graz University of Technology
-
crisitem.author.dept
University of Antwerp
-
crisitem.author.dept
Graz University of Technology
-
crisitem.author.dept
E325 - Institut für Mechanik und Mechatronik
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crisitem.author.dept
KTH Royal Institute of Technology
-
crisitem.author.dept
University of Graz
-
crisitem.author.dept
Lawrence Berkeley National Laboratory
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crisitem.author.parentorg
E300 - Fakultät für Maschinenwesen und Betriebswissenschaften