Knowledge-based intelligent design assistant

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dc.contributor.authorGorostiza, Álvaro
dc.contributor.authorStokic, Dragan
dc.contributor.authorRobinson, David
dc.contributor.authorSorli, Mikel
dc.contributor.institutionCentros PRE-FUSION TECNALIA - (FORMER)
dc.contributor.institutionTecnalia Research & Innovation
dc.date.accessioned2024-07-24T11:58:00Z
dc.date.available2024-07-24T11:58:00Z
dc.date.issued2016-04-27
dc.descriptionPublisher Copyright: © 2005 IEEE.
dc.description.abstractThis paper introduces the objectives and work planned of the ASSIST project that aims at achieving a breakthrough in the use of advanced agent-based knowledge management techniques in real industrial practice, within an innovative ICT solution affordable to SMEs. The main business aim is to produce a leap forward in industrial design performance in SMEs. Knowledge useful to design engineers comes in many forms and useful knowledge can come from many sources inside and outside the SME. A common need amongst SMEs is to be able to acquire and process this knowledge so that a greater, richer, centralised source of knowledge and information is available to produce better designs, faster, with greater innovation, and with less re-inventing of the wheel. The most important needs of SMEs with regard to design are to get good products to the marketplace quicker, and to reduce costs related to design. ASSIST is a unique agent-based knowledge management approach meeting these needs.en
dc.description.statusPeer reviewed
dc.identifier.citationGorostiza , Á , Stokic , D , Robinson , D & Sorli , M 2016 , Knowledge-based intelligent design assistant . in 2005 IEEE International Technology Management Conference, ICE 2005 . , 7461309 , 2005 IEEE International Technology Management Conference, ICE 2005 , Institute of Electrical and Electronics Engineers Inc. , IEEE International Technology Management Conference, ICE 2005 , Munich , Germany , 20/06/05 . https://doi.org/10.1109/ITMC.2005.7461309
dc.identifier.citationconference
dc.identifier.doi10.1109/ITMC.2005.7461309
dc.identifier.isbn9780853582212
dc.identifier.urihttps://hdl.handle.net/11556/2792
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84971300835&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2005 IEEE International Technology Management Conference, ICE 2005
dc.relation.ispartofseries2005 IEEE International Technology Management Conference, ICE 2005
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsCollaborative Enterprises
dc.subject.keywordsKnowledge Management
dc.subject.keywordsLife-cycle Engineering
dc.subject.keywordsManagement of Technology and Innovation
dc.subject.keywordsSDG 9 - Industry, Innovation, and Infrastructure
dc.titleKnowledge-based intelligent design assistanten
dc.typeconference output
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