1st ICAI 2020

International Conference on Automotive Industry 2020

Mladá Boleslav, Czech Republic

Figure 2: The comparison of production time of proposed variants

Source: own work

Acknowledgements The submitted work is a part of the project VEGA 1/0317/19, “Research and development of new smart solutions based on principles of the Industry 4.0, logistics, 3D modeling and simulation for production streamline in the mining and building industry.”, funded by the Scientific Grant Agency of the Ministry of Education, science, research and sport of the Slovak Republic and the Slovak Academy of Sciences. References [1] Chen, F., Sekiyama, K., Huang, J., Sun, B., Sasaki, H. and Fukuda, T. (2011). An assembly strategy scheduling method for human and robot coordinated cell manufacturing. International Journal of Intelligent Computing and Cybernetics , Vol. 4 No. 4, pp. 487-510. [2] Chryssolouris,G.andSubramaniamV.(2001).DynamicSchedulingofManufacturing Job Shops Using Genetic Algorithms. Journal of Intelligent Manufacturing Vol. 12, No. 3, pp. 281-293. [3] Hermawati, S., G. Lawson, M. D’Cruz, F. Arlt, J. Apold, L. Andersson, M. G. Lövgren and L. Malmsköld. (2015). Understanding the Complex Needs of Automotive Training at Final Assembly Lines. Applied Ergonomics , Vol. 46, No. 1, pp. 144-157. [4] Hozzová, S. (2017). The efficiency increase of the RELE assembly workplace in the selected company. Technical University of Košice, Košice. [5] Malindžák, D. and Pitoňák, M. (2017). Heuristic analysis – analysis for heuristic model creation. Transport & Logistics the International Journal . Vol. 15, No. 36, pp. 1-6. [6] Tsarouchi P., Matthaiakis, A., S., Makris S. and Chryssolouris, G. (2017) On a human-robot collaboration in an assembly cell. International Journal of Computer Integrated Manufacturing , Vol. 30, No. 6, pp. 580-589

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