Multidomain Simulation Model for Analysis of Geometric Variation and Productivity in Multi-Stage Assembly Systems
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Other documents of the author: Benavent-Nácher, Sergio; Rosado Castellano, Pedro; Romero Subirón, Fernando; Abellán-Nebot, José V.
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comunitat-uji-handle2:10234/7034
comunitat-uji-handle3:10234/8619
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Title
Multidomain Simulation Model for Analysis of Geometric Variation and Productivity in Multi-Stage Assembly SystemsAuthor (s)
Date
2020-09-02Publisher
MDPIISSN
2076-3417Bibliographic citation
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), 6606Type
info:eu-repo/semantics/articlePublisher version
https://www.mdpi.com/2076-3417/10/18/6606Version
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Abstract
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. [-]
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Applied Sciences, 2020, vol. 10, no 18Investigation project
Generalitat Valenciana: ACIF/2019/095Rights
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