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Supporting connectivism in knowledge based engineering with graph theory, filtering techniques and model quality assurance
Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.ORCID iD: 0000-0003-1162-724x
Universitat Politècnicade València, Spain.
Universitat Jaume I, Spain.
Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.ORCID iD: 0000-0002-3677-8311
2018 (English)In: Advanced Engineering Informatics, ISSN 1474-0346, E-ISSN 1873-5320, Vol. 38, p. 252-263Article in journal (Refereed) Published
Abstract [en]

Mass-customization has forced manufacturing companies to put significant efforts to digitize and automate their engineering and production processes. When new products are to be developed and introduced the production is not alone to be automated. The application of knowledge regarding how the product should be designed and produced based on customer requirements also must be automated. One big academic challenge is helping industry to make sure that the background knowledge of the automated engineering processes still can be understood by its stakeholders throughout the product life cycle. The research presented in this paper aims to build an infrastructure to support a connectivistic view on knowledge in knowledge based engineering. Fundamental concepts in connectivism include network formation and contextualization, which are here addressed by using graph theory together with information filtering techniques and quality assurance of CAD-models. The paper shows how engineering knowledge contained in spreadsheets, knowledge-bases and CAD-models can be penetrated and represented as filtered graphs to support a connectivistic working approach. Three software demonstrators developed to extract filtered graphs are presented and discussed in the paper.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 38, p. 252-263
Keywords [en]
Connectivism, Mass-customization, Knowledge management, Knowledge-based engineering, Graph theory
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:hj:diva-41219DOI: 10.1016/j.aei.2018.07.005ISI: 000454378700019Scopus ID: 2-s2.0-85050547029Local ID: JTHProduktutvecklingISOAI: oai:DiVA.org:hj-41219DiVA, id: diva2:1241501
Available from: 2018-08-23 Created: 2018-08-23 Last updated: 2019-02-14Bibliographically approved

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Johansson, JoelElgh, Fredrik

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