Optimization of Welding Pliers Production for the Automotive Industry – Case Study

• Autorzy: Mikušová Nikoleta , Badiarová Soňa , Jeřábek Karel

Identyfikatory

DOI

10.12913/22998624/128105

• Języki publikacji: EN

Abstrakty

EN

The paper presents a production process optimization by the simulation approach. The research was realized by a case study for an enterprise producing welding pliers for the automotive industry. The solution of the study was realized in the environment of the Tecnomatix Plant Simulation software, which can simulate the production process after choosing the right conditions and connections among the elements. The research aimed at creating a simulation model of the evaluated process with real data and designing optimization solution of the production process, which assumes an increase in the devices and machines utilization. The results showed improvements in the efficiency of the production process, in the particular case increasing by more than 25%.

Słowa kluczowe

EN

simulation; model; optimization; production process

PL

symulacja; model; optymalizacja; proces produkcji

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2020
• Tom: Vol. 14, no 4
• Strony: 240--249
• Opis fizyczny: Bibliogr. 11 poz., fig.

Twórcy

autor

Mikušová Nikoleta

• Technical University of Kosice, Faculty of Mining, Ecology, Process Control and Geotechnologies, Institute of Logistics and Transport, Letná 9, 040 01 Kosice, Slovakia

autor

Badiarová Soňa

• Technical University of Kosice, Faculty of Mining, Ecology, Process Control and Geotechnologies, Institute of Logistics and Transport, Letná 9, 040 01 Kosice, Slovakia

autor

Jeřábek Karel

• Institute of Technology and Business in České Budějovice, Faculty of Technology, Department of Transport and Logistics, Okružní 10, 370 01 České Budějovice, Czech Republic

Bibliografia

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• 3. Schindlerova V. and Šajdlerova I. Use of the Dynamic Simulation to Reduce Handling Complexity in the Manufacturing Process. Advances in Science and Technology Research Journal 14, 2020, 81–88.
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• 5. Bergmann S. and Strassburger S. Challenges for the Automatic Generation of Simulation Models for Production Systems. Proceedings of Summer Simulation Multiconference – SummerSim ‘10, 2010, 545–549.
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• 7. Savsar M. and Al-Jawini A. Simulation analysis of just-in-time production systems International Journal of Production Economics 42, 1995, 67–78.
• 8. Chramcov B., Beran P., Daníček L. and Jašek R. A simulation approach to achieving more efficient production systems. International Journal of Mathematics and Computers in Simulation 5, 2011, 299–309.
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• 10. Lim L.L., Alpan G. and Penz B. A simulation-optimization approach for sales and operations planning in build-to-order industries with distant sourcing: Focus on the automotive industry. Computers & Industrial Engineering 112, 2017, 469–482.
• 11. Fabianova J., Kacmary P. and Janekova J. Operative production planning utilising quantitative forecasting and Monte Carlo simulations. Open Eng. 9, 2019, 613–622.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).