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Proposal of the Assembly Line Structure Modification

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Języki publikacji
EN
Abstrakty
EN
This paper describes the application of computer simulation for the purpose of analysis of an assembly line and the subsequent proposal of changes to increase productivity. Tecnomatix Plant Simulation software was used for modeling, simulations, and analyses. Based on simulations and analyses of the original state, the bottlenecks of the line were identified, and improvement measures were proposed. The simulation model was adjusted, and the new state of the line was simulated. Based on the new simulation, it was proven that the proposed improvement would help in increasing the productivity of the assembly line. Computer simulation, in addition to verifying the production process itself, enables the optimal setting of the assembly line without interfering with the production itself.
Twórcy
  • Faculty of Commerce, University of Economics in Bratislava, Dolnozemská cesta 1/b, 852 35 Petržalka, Bratislava, Slovakia
  • Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Sever, Košice, Slovakia
autor
  • Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Sever, Košice, Slovakia
  • Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Sever, Košice, Slovakia
Bibliografia
  • 1. Ebrahimi, M., Mahmoodjanloo, M., Einabadi, B., Baboli, A., Rother, E. A mixed-model assembly line sequencing problem with parallel stations and walking workers: a case study in the automotive industry. International Journal of Production Research 2022; 1–20.
  • 2. Ulgen, O., Gunal, A., Banks, J. Simulation in the automobile industry. Handbook of Simulation 1998; 547–570.
  • 3. Nam, S.Y., Kim, G.Y., Noh, S.D. The Manufacturing DMU for Automotive General Assembly. In International Federation of Automotive Engineering Societies-Student congress 2006; 12.
  • 4. Trebuňa, P., Markovič, J., Kliment, M., Halčinová, J. Modelling in the industrial engineering, TU Košice 2015; 195.
  • 5. Bangsow, S. Tecnomatix Plant Simulation – Modelling and Programing by Means of Examples, 2015; 713.
  • 6. Kumar, R., Charak, A., Thakur, G. Productivity Improvement of an Automotive Assembly Line using Modular Arrangement of Predetermined Time Standards (MODAPTS). i-Manager’s Journal on Future Engineering and Technology 2020; 16(2): 32.
  • 7. Candido, G.M., Kaminski, P.C. Product value optimisation engineering applied to current component designs: a case study from the Brazilian automotive industry. International journal of automotive technology and management 2008; 8(3): 270–296.
  • 8. Briard, T., Segonds, F., Zamariola, N. G-DfAM: a methodological proposal of generative design for additive manufacturing in the automotive industry. International Journal on Interactive Design and Manufacturing 2020; 14(3): 875–886.
  • 9. Ulgen, O., Gunal, A., Banks, J. Simulation in the automobile industry. Handbook of Simulation 1998; 547–570.
  • 10. Tang, H. Manufacturing System and Process Development for Vehicle Assembly. SAE International 2017.
  • 11. Siderska, J. Application of tecnomatix plant simulation for modelling production and Logistics processes. Business, Management and Education 2016; 14(1): 64–73.
  • 12. Hrehova, S., Vagaska, A. Design of study support to get skills in Plant simulation tecnomatix environment. In INTED2018 Proceedings 2018; 7942–7945.
  • 13. Górnicka, D., Kochańska, J., Burduk, A. Production resources utilization improvement with the use of simulation modelling. In Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology–ISAT 2019: Part II Springer International Publishing 2020; 41–50.
  • 14. Danilczuk, W. The use of simulation environment for solving the assembly line balancing problem. Applied Computer Science 2018; 14(1), 42–52.
  • 15. Gola, A., Pastuszak, Z., Relich, M., Sobaszek, Ł., Szwarc, E. Scalability analysis of selected structures of a reconfigurable manufacturing system taking into account a reduction in machine tools reliability. Eksploatacja i Niezawodność 2021; 23(2).
  • 16. Mirzapourrezaei, S.A., Lalmazloumian, M., Dargi, A., Wong, K.Y. Simulation of a manufacturing assembly line based on witness. In 2011 Third International Conference on Computational Intelligence, Communication Systems and Networks IEEE 2011; 132–137.
  • 17. Litwin, P., Mądziel, M., Stadnicka, D. Simula- tions of Manufacturing Systems: Applications in Achieving the Intended Learning Outcomes. In Collaborative Networks and Digital Transformation: 20th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2019, Turin, Italy, September 23–25, 2019, Proceedings 20. Springer International Publishing 615–623.
  • 18. Kłos, S., Patalas-Maliszewska, J. Using the simulation method for modelling a manufacturing system of predictive maintenance. In Distributed Computing and Artificial Intelligence, 16th International Conference, Special Sessions. Cham: Springer International Publishing. 2019; 57–64.
  • 19. Hu, Y., Guan, Y., Han, J., Wen, J. Joint optimization of production planning and capacity adjustment for assembly system. Procedia CIRP 2017; 62: 193–198.
  • 20. Kovbasiuk, K., Balog, M., Židek, K. Designing an Automated Assembly Workplace in a Simulation Environment. In Advances in Manufacturing III: Volume 2-Production Engineering: Research and Technology Innovations, Industry 4.0. Cham: Springer International Publishing 2022; 35–49.
  • 21. Václav, Š., Košťál, P., Lecký, Š., Michal, D., Bako, B. Assembly system planning in automotive industry with use of discrete event simulation. In Vehicle and Automotive Engineering 2: Proceedings of the 2nd VAE2018, Miskolc, Hungary. Springer International Publishing 2018; 503–515.
  • 22. Kłos, S., Patalas-Maliszewska, J. Simulation Modeling of Assembly Processes for Digital Manufacturing. In Advances in Manufacturing II: Volume 1-Solutions for Industry 4.0. Springer International Publishing 2019; 261–273.
  • 23. Siderska, J. Application of Tecnomatix Plant Simulation for Modeling Production and Logistics Processes. Business, Manag. Educ., 2016; 14(1): 64–73
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9ed5636b-6132-4bae-ba26-3f024f448b8f
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