The paper addresses application of digitazation of production processes, which is part of organizational digitization, also known as Industry 4.0. It deals with modernization and optimization of production systems by creating models in simulation software via digital engineering. For our analysis, 8 real assembly lines were used, with an average of 15 workplaces, which were integrated into one universal line by means of simulation. The aim of our research was to create a digital twin of the real assambly lien and to analyse effectiveness of the proposed modernization universal assembly line using the generated statistical data.
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 H. Alavi and P. Habek. Optimizing outcome in the university – industry technology transfer projects. Management Systems in Production Engineering Vol. 22 No.2 pp. 94-100. p-ISSN 2299-0461 Poland 2016.
 S. Bangsow. Manufacturing Simulation with Plant Simulation and SimTalk. Springer-Verlag Berlin Heidelberg. pp. 289 2010.
 W. Bialy and J. Ružbarský. Breakdown cause and effect analysis. Case study. Management Systems in Production Engineering Vol. 26 No. 2 pp. 83-87. p- ISSN 2299-0461 Poland 2018.
 M. Buckova et al. Impact of digital factory tools on designing of warehouses 2017. Journal of Applied Engineering Science Vol. 15 no. 2 pp. 173-180. ISSN: 1451-4117 2017
 N. Kumar and D. Mahto. Assembly Line Ballancing: A Review of Developments and Trends in Approach to 28 Management Systems in Production Engineering 2019 Volume 27 Issue 1 Industrial Application. Global Journal of Researches in Engineering Industrial Engineering Vol. 12 No. 2 USA [online] [cit. 2017.05.21] Available on the Internet: https://globaljournals.org/GJRE_Volume13/4-Assembly-Line-Balancing-A-Review-of.pdf. 2013.
 P. Polerecký. Proposal of manufacturing system improvement The Bachelor Thesis pp. 53 Zvolen. Slovak Republic. 2016.
 P. Polerecký and E. Sujová. Assembly line optimization through Tecnomatix Plant Simulation. In: Conference Proceeding: Recent advances in agriculture mechanical engineering and waste policy pp. 200- 207 Nitra. Slovak Republic. 2017
 R. Rosen G. Wichter L.O. George K. D. Bettenhausen. About the importance of autonomy and digital twins for future of manufactuing IFAC-PapersOnLine 48-3(2015) 567-572 (2015)
 V. Senjom and E. Evin. Increasing of the assembly line productivity by unloading assembly stations using the Yamazumi method [online] [cit. 2017.05.21] Available on the Internet: https://www.sjf.tuke.sk/transferinovacii/pages/archiv/transfer/13-2009/pdf/073-077.pdf. 2009.
 SOVA DIGITAL. Digital twin leads the companies to Industry 4.0. [online] [cit. 2017.04.15] Available on the Internet: http://www.sova.sk/sk/tlac-a-media/tlacove-spravy/digitalne-dvojca-od-sova-digital. 2018.
 P. Štarchoň M. Vetráková J. Metke S. Lorincová M. Hitka. Introduction of a New Mobile Player App Store in Selected Countries of Southeast Asia. Social Sciences vol. 2018 No. 7 doi: 10.3390/socsci7090163
 TPS. Tecnomatix Plant Simulation [online] [cit. 2017.03.29] Available on the Internet: http://4dsysco.com/siemens-plm/tecnomatix/tecnomatix-plant-simulation.
 J. Tokarczyk. Migration of computational models in virtual prototyping of complex mechanical systems. WCECS 2012 World Congress on Engineering and Computer Science 2012 Volume II San Francisco USA 24-26 October 2012. Lect. Notes Eng. Comput. Sci. 2012 s. 1334-1337. ISSN 2078-0958.