Have a personal or library account? Click to login
Industry 4.0 and the New Simulation Modelling Paradigm Cover

Industry 4.0 and the New Simulation Modelling Paradigm

By: Blaž Rodič  
Open Access
|Aug 2017

References

  1. Baggia, A., Brezavšček, A., Maletič, M., Šparl, P., Raharjo, H., & Žnidaršič, A. (2016). Awareness and attitude towards green IS in Slovenian enterprises. Organizacija, 49(1), 15-27, https://doi.org/10.1515/orga-2016-000110.1515/orga-2016-0001
  2. Barlas, P., & Heavey, C. (2016). Automation of Input Data to Discrete Event Simulation for Manufacturing: A Review. International Journal of Modeling, Simulation, and Scientific Computing, 7(1), http://dx.doi.org/10.1142/S179396231630001610.1142/S1793962316300016
  3. Bengtsson, P. (1999). Multiple Case Studies - not just more data points?! Ronneby, Sweden: Department of Software Engineering, University of Karlskrona Ronneby, http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.9769
  4. Borshchev, A. (2013). The Big Book of Simulation Modeling. AnyLogic North America.
  5. Conner, W. R. (1990). Automated Petri net modeling of military operations. IEEE Proceedings of the IEEE 1990 National Aerospace and Electronics Conference - NAECON 1990 (pp. 624-627). Dayton, Ohio, USA: IEEE, https://dx.doi.org/10.1109/NAECON.1990.11283810.1109/NAECON.1990.112838
  6. Forrester, J. W. (1961). Industrial Dynamics. Cambridge, MA: MIT Press.
  7. Goldsman, D., Nance, R. E., & Wilson, J. R. (2010). A brief history of simulation. In M. D. Rossetti, R. R. Hill, B. Johansson, A. Dunkin, & R. G. Ingalls (Ed.), Proceedings of the 2009 Winter Simulation Conference (pp. 310-313). IEEE, https://doi.org/10.1109/WSC.2009.542934110.1109/WSC.2009.5429341
  8. Goossens, P. (2017). Industry 4.0 and the Power of the Digital Twin. Retrieved 5 3, 2017, from Design News Direct, http://directory.designnews.com/Industry4.0-file073448.pdf
  9. Gradišar, D., & Mušič, G. (2012). Automated Petri-Net Modelling for Batch Production Scheduling. In P. Pawlewski (Ed.), Petri Nets - Manufacturing and Computer Science (pp. 3-26). InTech, https://doi.org/10.5772/4846710.5772/48467
  10. GTAI. (2016, 5 11). INDUSTRIE 4.0, Smart Manufacturing for the Future. Retrieved 4 15, 2017, from Germany trade & invest Web site, https://www.gtai.de/GTAI/Navigation/EN/Invest/Service/Publications/business-information,t=industrie-40--smart-manufacturing-for-the-future,did=917080.html
  11. Harrell, C. R., & Hicks, D. A. (1998). Simulation software component architecture for simulation-based enterprise applications. In M. D. J, W. E. F, C. J. S, & M. M. S (Ed.), Proceedings of the 1998 Winter Simulation Conference (pp. 1717-1721). Piscataway: IEEE.
  12. Jain, S., & Lechevalier, D. (2016). Standards based generation of a virtual factory model. In P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, & S. E. Chick (Ed.), Proceedings of the 2016 Winter Simulation Conference (WSC ‘16) (pp. 2762-2773). Piscataway: IEEE, https://doi.org/10.1109/WSC.2016.782231310.1109/WSC.2016.7822313
  13. Kannan, R. M., & Santhi, H. M. (2013). Automated construction layout and simulation of concrete formwork systems using building information modeling. In D. Hardjito, & Antoni (Ed.), Proceedings of The 4th International Conference of Euro Asia Civil Engineering Forum 2013 (EACEF 2013). 64, pp. C7-C12. Surabaya: National University of Singapore, https://doi.org/10.1016/j.proeng.2013.09.19110.1016/j.proeng.2013.09.191
  14. Kirchhof, P. (2016). Automatically generating flow shop simulation models from SAP data. In P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, & S. E. Chick (Ed.), Proceedings of the 2016 Winter Simulation Conference (pp. 3588-3589). Piscataway: IEEE.
  15. Kljajić, M. (2002). Teorija sistemov [Systems Theory]. Kranj: Moderna organizacija.
  16. Kljajić, M., Bernik, I., & Škraba, A. (2000). Simulation Approach to Decision assessment in Enterprises. Simulation, 75(4), 199-210, http://dx.doi.org/10.1177%2F00375497000750040210.1177/003754970007500402
  17. KPMG. (2016, 06 02). The Factory of the Future - Industry 4.0: The challenges of tomorrow. Retrieved 4 20, 2017, from KPMG Web site: https://assets.kpmg.com/content/dam/kpmg/pdf/2016/05/factory-future-industry-4.0.pdf
  18. Lattner, A. D., Bogon, T., Lorion, Y., & Timm, I. J. (2010). A knowledge-based approach to automated simulation model adaptation. In S. Biaz (Ed.), Proceedings of the 2010 Spring Simulation Multiconference (SpringSim ‘10) (pp. 200-207). San Diego: Society for Computer Simulation International, https://doi.org/10.1145/1878537.187869710.1145/1878537.1878697
  19. Law, A. M. (2014). Simulation Modeling and Analysis, 5th Edition. New York: McGraw-Hill Education.
  20. Marolt, M., Lenart, G., Maletič, D., Kljajić Borštnar, M., & Pucihar, A. (2016). Business model innovation : insights from a multiple case study of Slovenian SMEs. Organizacija, 49(3), 161-171. https://doi.org/10.1515/orga-2016-001510.1515/orga-2016-0015
  21. Merriam, S. B. (1998). Case Study Research in Education: A Qualitative Approach. San Francisco: Jossey-Bass.
  22. Robson, C. (1993). Real World Research : A Resource for Social Scientists and Practitioner-Researchers. Oxford: Blackwell.
  23. Rodič, B., & Kanduč, T. (2015). Optimisation of a complex manufacturing process using discrete event simulation and a novel heuristic algorithm. International Journal Of Mathematical Models and Methods in Applied Sciences, 2015(9), https://doi.org/10.2507/IJSIMM15(2)7.33510.2507/IJSIMM15(2)7.335
  24. Rodič, B., & Kljajić, M. (2005). Mobile agents and XML for distributed simulation support. Simulation based decision support. Organizacija, 38(9), 490-498.
  25. Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015). About The Importance of Autonomy and Digital Twins for the Future of Manufacturing. IFAC-PapersOnLine, 567-572, https://doi.org/10.1016/j.ifacol.2015.06.14110.1016/j.ifacol.2015.06.141
  26. Schwab, K. (2016). The Fourth Industrial Revolution. Geneva: World Economic Forum.
  27. Stark, R., Kind, S., & Neumeyer, S. (2017). Innovations in digital modelling for next generation manufacturing system design. CIRP Annals - Manufacturing Technology, https://doi.org/10.1016/j.cirp.2017.04.04510.1016/j.cirp.2017.04.045
  28. Thiers, G. S., Graunke, A., & Christian, M. (2016). Automated production system simulations using commercial off-the-shelf simulation tools. In P. I. Frazier, R. Szechtman, E. Zhou, T. Huschka, & S. E. Chick (Ed.), Proceedings of the 2016 Winter Simulation Conference (pp. 1036-1047). Piscataway: IEEE, https://doi.org/10.1109/WSC.2016.782216310.1109/WSC.2016.7822163
  29. Uhlemann, T. H.-J., Lehmann, C., & Steinhilper, R. (2017). The Digital Twin: Realizing the Cyber-Physical Production System for Industry 4.0. V S. Takata, Y. Umeda, & S. Kondoh (Ured.), Procedia CIRP: Proceedings of The 24th CIRP Conference on Life Cycle Engineering (pp. 335–340). Kamakura: Elsevier, https://doi.org/10.1016/j.procir.2016.11.15210.1016/j.procir.2016.11.152
  30. Yin, R. K. (2017). Case Study Research and Applications: Design and Methods. London: SAGE.
  31. Zainal, Z. (2007). Case study as a research method. Jurnal Kemanusiaan, 2007(9), 1-6. Retrieved from http://psyking.net/htmlobj-3837/case_study_as_a_research_method.pdf
DOI: https://doi.org/10.1515/orga-2017-0017 | Journal eISSN: 1581-1832 | Journal ISSN: 1318-5454
Language: English
Page range: 193 - 207
Submitted on: Jan 4, 2017
|
Accepted on: Apr 28, 2017
|
Published on: Aug 22, 2017
Published by: University of Maribor
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Blaž Rodič, published by University of Maribor
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.