Multi-layer Graph Theory Utilisation for Improving Traceability and Knowledge Management in Early Design Stages

dc.contributor.authorRíos-Zapata, D.
dc.contributor.authorPailhès, J.
dc.contributor.authorMejía-Gutiérrez, R.
dc.date.accessioned2021-04-12T21:14:32Z
dc.date.available2021-04-12T21:14:32Z
dc.date.issued2017-01-01
dc.description.abstractDecision making processes in design often challenges designers to prioritise specifications and variables in order to develop solutions that are closer to the product's requirement goals. Concerning to support their decisions, different tools and methods are used by engineers and designers allowing to reduce uncertainty in design. Nevertheless, many of these decision support systems are focused in late design stages, such as detailed design and manufacturing design, even if the possibility to influence a new product is higher in early stages. The issues regarding to those situations are often associated to design processes related to multi-physics design, where the modification of geometric-related variables might affect the performance of the solution, and the analysis of tracking the influence of the modifications might generate reprocessing and loses of time, specially when those relations are tricky and are not easily identifiable by analysing equations and a manual analysis of requirements must be performed. This article is centred in proposing a traceability model for early design stages based in graph theory. The proposal supports the information generated in design, from the input requirements (linguistic field) up to mathematical modelling and variables definition (real numbers field). This information is arranged into different layers, allowing a multilevel approach in terms of information management. The model also features a novel solution for weighting vertex in graph model, featuring a model that balances the direction of improvement, the importance and flexibility of any specification and how its behaviour will affect the design variables associated to it. The goal of the proposed model is to offer to designers, since the conceptual design stage, a method that can show automatically the level of correlation between any pair variables and specifications by the use of information trees and featuring chains that can connect them whether there is or not a connection via equations. © 2017 The Authors.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=6753
dc.identifier.doi10.1016/j.procir.2017.02.017
dc.identifier.issn22128271
dc.identifier.otherWOS;000414522700052
dc.identifier.otherSCOPUS;2-s2.0-85020031456
dc.identifier.urihttp://hdl.handle.net/10784/28948
dc.language.isoengeng
dc.publisherElsevier
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85020031456&doi=10.1016%2fj.procir.2017.02.017&partnerID=40&md5=8d0617fcfbb6b6df368a315d390441e5
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/2212-8271
dc.sourceProcedia CIRP
dc.subject.keywordArtificial intelligenceeng
dc.subject.keywordConceptual designeng
dc.subject.keywordDecision makingeng
dc.subject.keywordDecision support systemseng
dc.subject.keywordDecision theoryeng
dc.subject.keywordGraph theoryeng
dc.subject.keywordInformation managementeng
dc.subject.keywordKnowledge managementeng
dc.subject.keywordSpecificationseng
dc.subject.keywordConceptual design stageseng
dc.subject.keywordDecision making processeng
dc.subject.keywordDirection of improvementeng
dc.subject.keywordEarly design stageseng
dc.subject.keywordManufacturing designeng
dc.subject.keywordMulti-layer graphseng
dc.subject.keywordMultilevel approacheng
dc.subject.keywordUncertainty in designeng
dc.subject.keywordProduct designeng
dc.titleMulti-layer Graph Theory Utilisation for Improving Traceability and Knowledge Management in Early Design Stageseng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

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