Blaž Rodič
Faculty of Information Studies in Novo mesto, Ljubljanska cesta 31A, Novo mesto, Slovenia
DOI: https://doi.org/10.31410/ITEMA.2018.20
2nd International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2018 – Graz, Austria, November 8, 2018, CONFERENCE PROCEEDINGS published by the Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-13-4
2nd International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2018 – Graz, Austria, November 8, 2018, CONFERENCE PROCEEDINGS published by the Association of Economists and Managers of the Balkans, Belgrade, Serbia; ISBN 978-86-80194-13-4
Abstract
In this contribution we present several possibilities for the use of automated modelling and simulation methods within digitalization and automation projects implementing the Digital Twin as a part of the Industry 4.0 paradigm. First part of the contribution introduces the Industry 4.0 paradigm, current state of development and its influence on the development of the simulation modelling paradigm. In the second part of the contribution we examine a case where innovative approaches and methodologies were used to realize the Industry 4.0 paradigm concepts using general purpose simulation modelling tools, facilitating research and development projects for SMEs.
Key words
Simulation modelling, Industry 4.0, Digital Twin, automated modelling, manufacturing automation.
References
[1] KPMG, “The Factory of the Future – Industry 4.0: The challenges of tomorrow,” 02 06 2016. [Online]. Available: https://assets.kpmg.com/content/dam/kpmg/pdf/2016/05/factory-future-industry-4.0.pdf. [Accessed 20 4 2017].
[2] J. W. Forrester, Industrial Dynamics, Cambridge, MA: MIT Press, 1961.
[3] M. Kljajić, Teorija sistemov, Kranj: Moderna organizacija, 2002.
[4] J. D. Sterman, Business dynamics: Systems Thinking and Modeling for a Complex World, Boston: Irwin/McGraw-Hill, 2000.
[5] S. Robinson, Simulation: the practice of model development and use 2nd ed., Basingstoke/New York: Palgrave Macmillan, 2004.
[6] N. Gilbert, Quantitative Applications in the Social Sciences: Agent-Based Models, London: SAGE, 2007, p. 1–20.
[7] A. Borshchev, The Big Book of Simulation Modeling, AnyLogic North America, 2013.
[8] M. Kljajić, I. Bernik and A. Škraba, “Simulation Approach to Decision assessment in Enterprises,” Simulation, vol. 75, no. 4, pp. 199-210, 2000.
[9] R. Stark, S. Kind i S. Neumeyer, „Innovations in digital modelling for next generation manufacturing system design,“ CIRP Annals – Manufacturing Technology, 2017
[10] P. Barlas and C. Heavey, “Automation of Input Data to Discrete Event Simulation for Manufacturing: A Review,” International Journal of Modeling, Simulation, and Scientific Computing, vol. 7, no. 1, 2016.
[11] B. Rodič i T. Kanduč, „Optimization of a complex manufacturing process using discrete event simulation and a novel heuristic algorithm,“ International Journal Of Mathematical Models And Methods In Applied Sciences, t. 2015, br. 9, 2015.
[2] J. W. Forrester, Industrial Dynamics, Cambridge, MA: MIT Press, 1961.
[3] M. Kljajić, Teorija sistemov, Kranj: Moderna organizacija, 2002.
[4] J. D. Sterman, Business dynamics: Systems Thinking and Modeling for a Complex World, Boston: Irwin/McGraw-Hill, 2000.
[5] S. Robinson, Simulation: the practice of model development and use 2nd ed., Basingstoke/New York: Palgrave Macmillan, 2004.
[6] N. Gilbert, Quantitative Applications in the Social Sciences: Agent-Based Models, London: SAGE, 2007, p. 1–20.
[7] A. Borshchev, The Big Book of Simulation Modeling, AnyLogic North America, 2013.
[8] M. Kljajić, I. Bernik and A. Škraba, “Simulation Approach to Decision assessment in Enterprises,” Simulation, vol. 75, no. 4, pp. 199-210, 2000.
[9] R. Stark, S. Kind i S. Neumeyer, „Innovations in digital modelling for next generation manufacturing system design,“ CIRP Annals – Manufacturing Technology, 2017
[10] P. Barlas and C. Heavey, “Automation of Input Data to Discrete Event Simulation for Manufacturing: A Review,” International Journal of Modeling, Simulation, and Scientific Computing, vol. 7, no. 1, 2016.
[11] B. Rodič i T. Kanduč, „Optimization of a complex manufacturing process using discrete event simulation and a novel heuristic algorithm,“ International Journal Of Mathematical Models And Methods In Applied Sciences, t. 2015, br. 9, 2015.
