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dc.contributor.authorBenavent-Nácher, Sergio
dc.contributor.authorRosado Castellano, Pedro
dc.contributor.authorRomero Subirón, Fernando
dc.date.accessioned2024-04-19T07:56:05Z
dc.date.available2024-04-19T07:56:05Z
dc.date.issued2024-02-24
dc.identifier.citationBenavent-Nácher, S.; Rosado Castellano, P.; Romero Subirón, F. SysML4GDPSim: A SysML Profile for Modeling Geometric Deviation Propagation in Multistage Manufacturing Systems Simulation. Appl. Sci. 2024, 14, 1830. https://doi.org/10.3390/app14051830ca_CA
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10234/206484
dc.description.abstractIn recent years, paradigms like production quality or zero-defect manufacturing have emerged, highlighting the need to improve quality and reduce waste in manufacturing systems. Although quality can be analyzed from various points of view during different stages of a manufacturing system’s lifecycle, this research focuses on a multidomain simulation model definition oriented toward the analysis of productivity and geometric quality during early design stages. To avoid inconsistencies, the authors explored the definition of descriptive models using system modeling language (SysML) profiles that capture domain-specific semantics defining object constraint language (OCL) rules, facilitating the assurance of model completeness and consistency regarding this specific knowledge. This paper presents a SysML profile for the simulation of geometric deviation propagation in multistage manufacturing systems (SysML4GDPSim), containing the concepts for the analysis of two data flows: (a) coupled discrete behavior simulation characteristic of manufacturing systems defined using discrete events simulation (DEVS) formalism; and (b) geometric deviation propagation through the system based on the geometrical modeling of artifacts using concepts from the topologically and technologically related surfaces (TTRS) theory. Consistency checking for this type of multidomain simulation model and the adoption of TTRS for the mathematical analysis of geometric deviations are the main contributions of this work, oriented towards facilitating the collaboration between design and analysis experts in the manufacturing domain. Finally, a case study shows the application of the proposed profile for the simulation model of an assembling line, including the model’s transformation to Modelica and some experimental results of this type of analysis.ca_CA
dc.format.extent25 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherMDPIca_CA
dc.relation.isPartOfApplied Sciences, 2024, vol. 14, no 5ca_CA
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/ca_CA
dc.subjectMBSEca_CA
dc.subjectSysMLca_CA
dc.subjectmodel consistencyca_CA
dc.subjectmanufacturing system simulationca_CA
dc.subjectgeometric deviation analysisca_CA
dc.subjectTTRSca_CA
dc.titleSysML4GDPSim: A SysML Profile for Modeling Geometric Deviation Propagation in Multistage Manufacturing Systems Simulationca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.3390/app14051830
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://www.mdpi.com/2076-3417/14/5/1830ca_CA
dc.description.sponsorshipThis research was funded by “Pla de Promoció de la Investigació a l’UJI” of UNIVERSITAT JAUME I. Project title: “Metodología para el modelado e implementación del gemelo digital de un sistema de fabricación multietapa orientado a la optimización del funcionamiento”. Reference: UJI-B2022-49.
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameUniversitat Jaume Ica_CA
oaire.awardNumberUJI-B2022-49ca_CA


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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
Excepto si se señala otra cosa, la licencia del ítem se describe como: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)