Multidomain Simulation Model for Analysis of Geometric Variation and Productivity in Multi-Stage Assembly Systems
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Otros documentos de la autoría: Benavent-Nácher, Sergio; Rosado Castellano, Pedro; Romero Subirón, Fernando; Abellán-Nebot, José V.
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Título
Multidomain Simulation Model for Analysis of Geometric Variation and Productivity in Multi-Stage Assembly SystemsAutoría
Fecha de publicación
2020-09-02Editor
MDPIISSN
2076-3417Cita bibliográfica
Benavent Nácher, S.; Rosado Castellano, P.; Romero Subirón, F.; Abellán-Nebot, J. V. Multidomain Simulation Model for Analysis of Geometric Variation and Productivity in Multi-Stage Assembly Systems. Appl. Sci. 2020, 10(18), 6606Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.mdpi.com/2076-3417/10/18/6606Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Nowadays, the new era of industry 4.0 is forcing manufacturers to develop models and methods for managing the geometric variation of a final product in complex manufacturing environments, such as multistage manufacturing ... [+]
Nowadays, the new era of industry 4.0 is forcing manufacturers to develop models and methods for managing the geometric variation of a final product in complex manufacturing environments, such as multistage manufacturing systems. The stream of variation model has been successfully applied to manage product geometric variation in these systems, but there is a lack of research studying its application together with the material and order flow in the system. In this work, which is focused on the production quality paradigm in a model-based system engineering context, a digital prototype is proposed to integrate productivity and part quality based on the stream of variation analysis in multistage assembly systems. The prototype was modelled and simulated with OpenModelica tool exploiting the Modelica language capabilities for multidomain simulations and its synergy with SysML. A case study is presented to validate the potential applicability of the approach. The proposed model and the results show a promising potential for future developments aligned with the production quality paradigm. [-]
Publicado en
Applied Sciences, 2020, vol. 10, no 18Proyecto de investigación
Generalitat Valenciana: ACIF/2019/095Derechos de acceso
info:eu-repo/semantics/openAccess
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