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dc.contributor.author
Štorga, Mario
dc.contributor.author
Stankovic, Tino
dc.contributor.author
Cash, Philip
dc.contributor.author
McAloone, Tim C.
dc.contributor.editor
Blessing, Lucienne
dc.contributor.editor
Qureshi, Ahmed J.
dc.contributor.editor
Gericke, Kilian
dc.date.accessioned
2021-03-04T07:27:26Z
dc.date.available
2017-06-11T17:24:14Z
dc.date.available
2021-03-04T07:27:26Z
dc.date.issued
2021
dc.identifier.isbn
978-3-319-06381-2
en_US
dc.identifier.isbn
978-3-319-06382-9
en_US
dc.identifier.other
10.1007/978-3-319-06382-9_5
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/100797
dc.description.abstract
In characterizing systems behaviour, complex-systems scientists use tools from a variety of disciplines, including nonlinear dynamics, information theory, computation theory, evolutionary biology and social network analysis, among others. All of these topics have been studied for some time, but only fairly recently has the study of networks in general become a major topic of research in complex engineering systems. The research reported in this paper is discussing how the visually augmented analysis of complex socio-networks (networks of people and technology engaged in a product/service-system (PSS) life cycle) may be applied in engineering design research. Network thinking of the kind described in this paper could be fundamental for developing new and effective techniques for solving the problems in the engineering design research related to the interpretation of the huge amount of data captured during experiments and observations that are more and more used as a main research method. Case studies that are presented illustrate also the significance of the network based research approach in providing insight into ways of improving the design process for complex engineering systems.
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.subject
Socio-technical networks
en_US
dc.subject
Visualisation
en_US
dc.subject
OrganicViz
en_US
dc.subject
Traceability
en_US
dc.subject
Engineering design research
en_US
dc.title
Visually Augmented Analysis of Socio-Technical Networks in Engineering Systems Design Research
en_US
dc.type
Conference Paper
dc.date.published
2021-01-05
ethz.book.title
The Future of Transdisciplinary Design. Proceedings of the Workshop on “The Future of Transdisciplinary Design”, University of Luxembourg 2013
en_US
ethz.pages.start
55
en_US
ethz.pages.end
67
en_US
ethz.event
The Future of Transdisciplinary Design (TFTD13)
en_US
ethz.event.location
Luxembourg
en_US
ethz.event.date
June 24-25, 2013
en_US
ethz.publication.place
Cham
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02665 - Inst. f. Design, Mat. und Fabrikation::03954 - Shea, Kristina / Shea, Kristina
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02665 - Inst. f. Design, Mat. und Fabrikation::03954 - Shea, Kristina / Shea, Kristina
en_US
ethz.date.deposited
2017-06-11T17:25:13Z
ethz.source
ECIT
ethz.identifier.importid
imp5936532b0ff8d90025
ethz.ecitpid
pub:158170
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-15T04:21:54Z
ethz.rosetta.lastUpdated
2022-03-29T05:36:25Z
ethz.rosetta.versionExported
true
ethz.COinS
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