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
Analysing Engineering Knowledge in CAD-models and Spread Sheets using Graph Theory and Filtering
Jönköping University, School of Engineering, JTH, Product Development.ORCID iD: 0000-0003-1162-724X
2017 (English)In: 24th ISPE International Conference on Transdisciplinary Engineering (TE2017): Transdisciplinary Engineering: A Paradigm Shift, IOS Press, 2017, 629-638 p.Conference paper, (Refereed)
Abstract [en]

As the era of Knowledge Based Engineering (KBE) and design automation has evolved a big effort has been put to automate CAD-models to quick and accurately respond to changes of customer specifications. The automated knowledge in these KBE-systems is represented as sets of rules, sets that are continuously growing. Parallel to KBE-systems knowledge is also automated in spread sheets (were the cells can be viewed as rules in a KBE system).These spread sheets also tend to grow in number and complexity. The vision of reusing corporate knowledge through automating it in computer systems are now threaten by the fact that the complexity makes it hard to grasp and manage what was automated. Complexity management and graph theory are scientific fields addressing these types of problems. This paper describes how engineering knowledge stored in CAD-models and spread sheets can be analysed through the application of graph theory, visualization and filtering. Information models of CAD-models and spread sheets are developed and applied to a real industrial case to generate and analyse the content.

Place, publisher, year, edition, pages
IOS Press, 2017. 629-638 p.
Series
Advances in Transdisciplinary Engineering, 5
Keyword [en]
Knowledge Based Engineering, Knowledge Engineering, Graph Theory, Complexity Management, Graph Visualization
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-36826DOI: 10.3233/978-1-61499-779-5-629ISBN: 978-1-61499-778-8 (print)ISBN: 978-1-61499-779-5 (electronic)OAI: oai:DiVA.org:hj-36826DiVA: diva2:1130935
Conference
24th ISPE International Conference on Transdisciplinary Engineering, Singapore, 10 July to 14 July, 2017.
Available from: 2017-08-11 Created: 2017-08-11 Last updated: 2017-08-11Bibliographically approved

Open Access in DiVA

fulltext(372 kB)21 downloads
File information
File name FULLTEXT01.pdfFile size 372 kBChecksum SHA-512
ce7502e1d84244ab0b3bc9ac0c139385f7dc4a07eb87a7edaaedcac5eb03fd7c378fdb60a084c2436734b3a39e6a7aca175687368f49402fca2a28fcbc75d2c4
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Johansson, Joel
By organisation
JTH, Product Development
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar
Total: 21 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 33 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