Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Data-mining approach to support layout configuration decision-making in Evolvable Production Systems
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0002-0723-1712
Show others and affiliations
2014 (English)In: Conference Proceedings / IEEE International Conference on Systems, Man and Cybernetics, ISSN 1062-922X, Vol. 2014-January, no January, 3649-3656 p.Article in journal (Refereed) Published
Abstract [en]

Computational and communication capabilities are increasingly being used in all devices. In the production context this leads to the generation of massive amounts of data that are rarely proficuously used. More particularly the application of data-mining techniques to infer knowledge from systems’ operation to improve its design decisions remains fairly unexplored. This article presents an approach to extract system design and configuration rules from Evolvable Production Systems. Furthermore it provides the empirical results from two test-cases that support the hypothesis that a simulation-data-mining approach can help reducing the complexity of the work carried by system designers and production managers. © 2014 IEEE.

Place, publisher, year, edition, pages
2014. Vol. 2014-January, no January, 3649-3656 p.
Keyword [en]
Assembly systems design, Data- mining, Multi-agent systems, Self-organising mechatronic systems, Simulation tools
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-174750DOI: 10.1109/smc.2014.6974497Scopus ID: 2-s2.0-84938118579OAI: oai:DiVA.org:kth-174750DiVA: diva2:859882
Note

QC 20151009

Available from: 2015-10-09 Created: 2015-10-07 Last updated: 2017-12-01Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Maffei, AntonioOnori, Maruo

Search in DiVA

By author/editor
Neves, PedroDias-Ferreira, JoaoMaffei, AntonioOnori, Maruo
By organisation
Production Engineering
In the same journal
Conference Proceedings / IEEE International Conference on Systems, Man and Cybernetics
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 22 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf