Acta Marisiensis.
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Anul 2024
Volum 21 (XXXVIII), nr 1 Volum 21 (XXXVIII), nr 2 Anul 2023 Volum 20 (XXXVII), nr 1 Volum 20 (XXXVII), nr 2 Anul 2022 Volum 19 (XXXVI), nr 1 Volum 19 (XXXVI), nr 2 Anul 2021 Volum 18 (XXXV), nr 1 Volum 18 (XXXV), nr 2 Anul 2020 Volum 17 (XXXIV), nr 1 Volum 17 (XXXIV), nr 2 Anul 2019 Volum 16 (XXXIII), nr 1 Volum 16 (XXXIII), nr 2 Anul 2018 Volum 15 (XXXII), nr 1 Volum 15 (XXXII), nr 2 Anul 2017 Volum 14 (XXXI), nr 1 Volum 14 (XXXI), nr 2 Anul 2016 Volum 13 (XXX), nr 1 Volum 13 (XXX), nr 2 Anul 2015 Volum 12 (XXIX), nr 1 Volum 12 (XXIX), nr 2 Anul 2014 Volum 11 (XXVIII), nr 1 Volum 11 (XXVIII), nr 2 Anul 2013 Volum 10 (XXVII), nr 1 Volum 10 (XXVII), nr 2 Anul 2012 Volum 9 (XXVI), nr 1 Volum 9 (XXVI), nr 2 Anul 2011 Volum 8 (XXV), nr 1 Volum 8 (XXV), nr 2 Anul 2010 Volum 7 (XXIV), nr 1 Volum 7 (XXIV), nr 2 Anul 2009 Volum 6 (XXIII) |
2024, Volume 21 (XXXVIII), no 2
Alex-Barna KACSÓ, University of Medicine, Pharmacy, Science and Technology ”G.E. Palade” of Târgu Mureș, Romania Abstract: This paper presents the results of the design and optimization of a manufacturing line for automotive products. The study focuses on optimizing a station to ensure that a shutdown of one manufacturing line does not affect other lines. The optimization process utilized KUKA robots for parts handling and implemented a rack-type station where automotive parts can be placed or picked up by two robots simultaneously. The station was designed to use modular design elements. The rack station is equipped with NOK define before abbreviate part identification sensors, resulting in a significant increase in production efficiency (28%), improved product quality (identification of scrap parts before welding the final product), and reduced operational costs. Future research may explore the long-term impact of optimization and its effects on employees. DOI: https://doi.org/10.62838/amset-2024-0014 Pages: 26-30 Cite as: download info as bibtex View full article |
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Update: 18-Dec-2024 | © Published by University Press |