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Year 2021, Volume: 5 Issue: 1, 50 - 63, 30.06.2021

Muhammet Arucu

https://doi.org/10.38088/jise.816023
Cited By: 1

Abstract

References

  • Möller D.P.F. (2016) Digital Manufacturing/Industry 4.0. In: Guide to Computing Fundamentals in Cyber-Physical Systems. Computer Communications and Networks. Springer, Cham
  • Schwab, K. (2017). The fourth industrial revolution. Currency
  • Xu, M., David, J. M., & Kim, S. H. (2018). The fourth industrial revolution: Opportunities and challenges. International journal of financial research, 9(2), 90-95.
  • “Endüstri Tarihine Kısa Bir Yolculuk,”2019. [Online]. Available: https://www.endustri40.com/endustri-tarihine-kisa-bir-yolculuk. [Accessed: 02-Jan-2020].
  • O. Özdoğan, “Endüstri 4.0: Dördüncü Sanayi Devrimi ve Endüstriyel Dönüşümün Anahtarları” Pusula Yayıncılık, Turkey, 2017
  • Alias, A.P Dr Norma & Al-Rahmi, Waleed & Yahaya, Noraffandy & Al-Maatouk, Qusay. (2018). Big data, modeling, simulation, computational platform and holistic approaches for the fourth industrial revolution. International Journal of Engineering and Technology (UAE). vol. 7, pp.3722-3725.
  • Cornelius Baur (2017). Stimulating digital adoption in Germany. McKinsey Global Institute, July 2017
  • Gallagher, A. G., Seymour, N. E., Jordan-Black, J. A., Bunting, B. P., McGlade, K., & Satava, R. M. (2013). Prospective, randomized assessment of transfer of training (ToT) and transfer effectiveness ratio (TER) of virtual reality simulation training for laparoscopic skill acquisition. Annals of surgery, 257(6), 1025-1031.
  • Morabito, V. (2015). Big data and analytics. Strategic and organisational impacts.
  • Baheti, R., & Gill, H. (2011). Cyber-physical systems. The impact of control technology, 12(1), 161-166.
  • Fahimi, F. (2009). Autonomous robots. Modeling, Path Planning and Control.
  • Liu, Q., Chen, J., Liao, Y., Mueller, E., Jentsch, D., Boerner, F., & She, M. (2015, September). An application of horizontal and vertical integration in cyber-physical production systems. In 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (pp. 110-113). IEEE.
  • Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), 1645-1660.
  • Madakam, S., Lake, V., Lake, V., & Lake, V. (2015). Internet of Things (IoT): A literature review. Journal of Computer and Communications, 3(05), 164.
  • Ngo, T. D., Kashani, A., Imbalzano, G., Nguyen, K. T., & Hui, D. (2018). Additive manufacturing (3D printing): A review of materials, methods, applications and challenges. Composites Part B: Engineering, 143, 172-196.
  • Singer, P. W., & Friedman, A. (2014). Cybersecurity: What everyone needs to know. oup usa.
  • Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., ... & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.
  • Chae, C., & Ko, K. (2008, July). Introduction of physics simulation in augmented reality. In 2008 international symposium on ubiquitous virtual reality (pp. 37-40). IEEE.
  • Cai, S., Wang, X., & Chiang, F. K. (2014). A case study of Augmented Reality simulation system application in a chemistry course. Computers in human behavior, 37, 31-40.
  • Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15-26.
  • Zafer, C., & Vardarlier, P. (2020). The Impact of New Technology on Society and Workforce in Production in the Era of Industry 4.0. In U. Hacioglu (Ed.), Handbook of Research on Strategic Fit and Design in Business Ecosystems (pp. 395-411). Hershey, PA: IGI Global. doi:10.4018/978-1-7998-1125-1.ch017 Blaž Rodič (2017), Industry 4.0 and the New Simulation Modelling Paradigm, Organizacija, Volume 50: Issue 3, 22 Aug 2017, pp: 193–207
  • Blaž Rodič (2017), Industry 4.0 and the New Simulation Modelling Paradigm, Organizacija, Volume 50: Issue 3, 22 Aug 2017, pp: 193–207
  • S. Çelen (2017), Sanayi 4.0 ve Simülasyon, International journal of 3D printing technologies and digital industry Volume 1, Issue 1, pp 9 – 26.
  • Banks, Jerry; Carson, John S.;Nelson, Barry L, (1996), Discrete-Event System Simulation. Prentice Hall, U.S.A.
  • Walters, J. P., Chaudhary, V., Cha, M., Guercio, S., & Gallo, S. (2008, March). A comparison of virtualization technologies for HPC. In 22nd International Conference on Advanced Information Networking and Applications (aina 2008) (pp. 861-868). IEEE.
  • Alias N, Sahnoun R, and Malyshkin, V. (2017). High-Performance Computing and Communication Models for Solving the Complex Interdisciplinary Problems On Dpcs. ARPN Journal of Engineering and Applied Sciences, 12,2 2017.
  • Smari, W. W., Bakhouya, M., Fiore, S., & Aloisio, G. (2016). New advances in High Performance Computing and simulation: parallel and distributed systems, algorithms, and applications. Concurrency and Computation: Practice and Experience.
  • Gunal, M. M., Simulation for Industry 4.0: Past, Present, and Future, Springer Series in Advanced Manufacturing. Springer, Cham, 2019
  • Gunal M.M. (2019) Simulation for the Better: The Future in Industry 4.0. Simulation for Industry 4.0. Springer Series in Advanced Manufacturing. Springer, Cham, 2019, pp. 275-283
  • M. Fakhimi, N. Mustafee (2019), Sustainability Analysis in Industry 4.0 Using Computer Modelling and Simulation, Simulation for Industry 4.0. Springer Series in Advanced Manufacturing. Springer, Cham, 2019, Pages 97-109
  • David T. S. (2019) Traditional Simulation Applications in Industry 4.0, Simulation for Industry 4.0. Springer Series in Advanced Manufacturing. Springer, Cham, 2019, Pages 39-54
  • “What is simulation,” 2019. [Online]. Available: https://www.simul8.com/what-is-simulation [Accessed: 02-Jan-2020].
  • D. J. Smith (1994) Computer Simulation Applications in Service Operations: A Case Study from the Leisure Industry, The Service Industries Journal, 14:3, 395-408
  • Thomas B., Jörg K., Gunther R., Günther S.: Wgp-Standpunkt Industrie 4.0, Wissenschaftliche Gesellschaft für Produktionstechnik Wgp e. v., 2016
  • Umit Hacioglu, Digital Business Strategies in Blockchain Ecosystems, Transformational Design and Future of Global Business, Springer Nature Switzerland AG 2020, Springer, Cham, https://doi.org/10.1007/978-3-030-29739-8
  • Spisakova M., Kozlovska M. (2020) Options of Customization in Industrialized Methods of Construction in Terms of Construction 4.0. In: Blikharskyy Z., Koszelnik P., Mesaros P. (eds) Proceedings of CEE 2019. CEE 2019. Lecture Notes in Civil Engineering, vol 47. Springer, Cham
  • Evans, P. B. (2012). Embedded autonomy: States and industrial transformation. Princeton University Press.
  • Krishnamurthi R., Kumar A. (2020) Modeling and Simulation for Industry 4.0. In: Nayyar A., Kumar A. (eds) A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development. Advances in Science, Technology & Innovation (IEREK Interdisciplinary Series for Sustainable Development). Springer, Cham
  • AMM Sharif Ullah, Modeling and simulation of complex manufacturing phenomena using sensor signals from the perspective of Industry 4.0, Advanced Engineering Informatics, Volume 39, 2019, Pages 1-13, ISSN 1474-0346, https://doi.org/10.1016/j.aei.2018.11.003
  • Andreja Rojko, Industry 4.0 Concept: Background and Overview, International Journal of Interactive Mobile Technologies (IJIM), 2017 - journals.sfu.ca
  • Polenghi, A., Fumagalli, L., & Roda, I. (2018). Role of simulation in industrial engineering: focus on manufacturing systems. IFAC-PapersOnLine, 51(11), 496-501.
  • de Paula Ferreira, W., Armellini, F., & De Santa-Eulalia, L. A. (2020). Simulation in industry 4.0: A state-of-the-art review. Computers & Industrial Engineering, 106868.

Industry 4.0 – Holistic Perspective: Modeling and Simulation Implementations in Manufacturing Systems

Year 2021, Volume: 5 Issue: 1, 50 - 63, 30.06.2021

Muhammet Arucu

https://doi.org/10.38088/jise.816023
Cited By: 1

Abstract

The simulation includes enormous technological tools and methods for the successful implementation of digital manufacturing as it allows product, process, system design, and configuration to be tested and verified. With the growth in the industrial sector, information systems and software products play an important role in the investments of technology in automation. The industrial sector has enabled the use of simulations to directly optimize the design and production of systems with computational growth. Modeling takes advantage of the integration of computing and controlling, enabling intelligent production and sustainability to greatly increase the efficiency of industrial systems. Recent technologies have been focusing on the development of solutions for increasing customer expectations, competition conditions, product and service providers. The information used for production is integrated with the simulation requirements in association with other software platforms in a flexible manner. In industry 4.0, various modeling and simulation techniques for automation of the industrial process in the integration of service-oriented architecture into contemporary management systems are presented and the modeling techniques available in the literature are discussed. Important milestones of simulation technologies in product, process and system design of digitized manufacturing systems have been investigated and the latest industrial and research approaches in basic manufacturing areas have been examined. It explores important milestones in the evolution of simulation technologies and the latest industrial and research applications and findings. Based on this review, future trends and challenges to be met in the field are summarized in order to reduce costs in current practices, increase quality and shorten the time to market of manufactured goods.

Keywords

Industry 4.0 digital industry internet of things modelling and simulation

References

  • Möller D.P.F. (2016) Digital Manufacturing/Industry 4.0. In: Guide to Computing Fundamentals in Cyber-Physical Systems. Computer Communications and Networks. Springer, Cham
  • Schwab, K. (2017). The fourth industrial revolution. Currency
  • Xu, M., David, J. M., & Kim, S. H. (2018). The fourth industrial revolution: Opportunities and challenges. International journal of financial research, 9(2), 90-95.
  • “Endüstri Tarihine Kısa Bir Yolculuk,”2019. [Online]. Available: https://www.endustri40.com/endustri-tarihine-kisa-bir-yolculuk. [Accessed: 02-Jan-2020].
  • O. Özdoğan, “Endüstri 4.0: Dördüncü Sanayi Devrimi ve Endüstriyel Dönüşümün Anahtarları” Pusula Yayıncılık, Turkey, 2017
  • Alias, A.P Dr Norma & Al-Rahmi, Waleed & Yahaya, Noraffandy & Al-Maatouk, Qusay. (2018). Big data, modeling, simulation, computational platform and holistic approaches for the fourth industrial revolution. International Journal of Engineering and Technology (UAE). vol. 7, pp.3722-3725.
  • Cornelius Baur (2017). Stimulating digital adoption in Germany. McKinsey Global Institute, July 2017
  • Gallagher, A. G., Seymour, N. E., Jordan-Black, J. A., Bunting, B. P., McGlade, K., & Satava, R. M. (2013). Prospective, randomized assessment of transfer of training (ToT) and transfer effectiveness ratio (TER) of virtual reality simulation training for laparoscopic skill acquisition. Annals of surgery, 257(6), 1025-1031.
  • Morabito, V. (2015). Big data and analytics. Strategic and organisational impacts.
  • Baheti, R., & Gill, H. (2011). Cyber-physical systems. The impact of control technology, 12(1), 161-166.
  • Fahimi, F. (2009). Autonomous robots. Modeling, Path Planning and Control.
  • Liu, Q., Chen, J., Liao, Y., Mueller, E., Jentsch, D., Boerner, F., & She, M. (2015, September). An application of horizontal and vertical integration in cyber-physical production systems. In 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (pp. 110-113). IEEE.
  • Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), 1645-1660.
  • Madakam, S., Lake, V., Lake, V., & Lake, V. (2015). Internet of Things (IoT): A literature review. Journal of Computer and Communications, 3(05), 164.
  • Ngo, T. D., Kashani, A., Imbalzano, G., Nguyen, K. T., & Hui, D. (2018). Additive manufacturing (3D printing): A review of materials, methods, applications and challenges. Composites Part B: Engineering, 143, 172-196.
  • Singer, P. W., & Friedman, A. (2014). Cybersecurity: What everyone needs to know. oup usa.
  • Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., ... & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.
  • Chae, C., & Ko, K. (2008, July). Introduction of physics simulation in augmented reality. In 2008 international symposium on ubiquitous virtual reality (pp. 37-40). IEEE.
  • Cai, S., Wang, X., & Chiang, F. K. (2014). A case study of Augmented Reality simulation system application in a chemistry course. Computers in human behavior, 37, 31-40.
  • Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15-26.
  • Zafer, C., & Vardarlier, P. (2020). The Impact of New Technology on Society and Workforce in Production in the Era of Industry 4.0. In U. Hacioglu (Ed.), Handbook of Research on Strategic Fit and Design in Business Ecosystems (pp. 395-411). Hershey, PA: IGI Global. doi:10.4018/978-1-7998-1125-1.ch017 Blaž Rodič (2017), Industry 4.0 and the New Simulation Modelling Paradigm, Organizacija, Volume 50: Issue 3, 22 Aug 2017, pp: 193–207
  • Blaž Rodič (2017), Industry 4.0 and the New Simulation Modelling Paradigm, Organizacija, Volume 50: Issue 3, 22 Aug 2017, pp: 193–207
  • S. Çelen (2017), Sanayi 4.0 ve Simülasyon, International journal of 3D printing technologies and digital industry Volume 1, Issue 1, pp 9 – 26.
  • Banks, Jerry; Carson, John S.;Nelson, Barry L, (1996), Discrete-Event System Simulation. Prentice Hall, U.S.A.
  • Walters, J. P., Chaudhary, V., Cha, M., Guercio, S., & Gallo, S. (2008, March). A comparison of virtualization technologies for HPC. In 22nd International Conference on Advanced Information Networking and Applications (aina 2008) (pp. 861-868). IEEE.
  • Alias N, Sahnoun R, and Malyshkin, V. (2017). High-Performance Computing and Communication Models for Solving the Complex Interdisciplinary Problems On Dpcs. ARPN Journal of Engineering and Applied Sciences, 12,2 2017.
  • Smari, W. W., Bakhouya, M., Fiore, S., & Aloisio, G. (2016). New advances in High Performance Computing and simulation: parallel and distributed systems, algorithms, and applications. Concurrency and Computation: Practice and Experience.
  • Gunal, M. M., Simulation for Industry 4.0: Past, Present, and Future, Springer Series in Advanced Manufacturing. Springer, Cham, 2019
  • Gunal M.M. (2019) Simulation for the Better: The Future in Industry 4.0. Simulation for Industry 4.0. Springer Series in Advanced Manufacturing. Springer, Cham, 2019, pp. 275-283
  • M. Fakhimi, N. Mustafee (2019), Sustainability Analysis in Industry 4.0 Using Computer Modelling and Simulation, Simulation for Industry 4.0. Springer Series in Advanced Manufacturing. Springer, Cham, 2019, Pages 97-109
  • David T. S. (2019) Traditional Simulation Applications in Industry 4.0, Simulation for Industry 4.0. Springer Series in Advanced Manufacturing. Springer, Cham, 2019, Pages 39-54
  • “What is simulation,” 2019. [Online]. Available: https://www.simul8.com/what-is-simulation [Accessed: 02-Jan-2020].
  • D. J. Smith (1994) Computer Simulation Applications in Service Operations: A Case Study from the Leisure Industry, The Service Industries Journal, 14:3, 395-408
  • Thomas B., Jörg K., Gunther R., Günther S.: Wgp-Standpunkt Industrie 4.0, Wissenschaftliche Gesellschaft für Produktionstechnik Wgp e. v., 2016
  • Umit Hacioglu, Digital Business Strategies in Blockchain Ecosystems, Transformational Design and Future of Global Business, Springer Nature Switzerland AG 2020, Springer, Cham, https://doi.org/10.1007/978-3-030-29739-8
  • Spisakova M., Kozlovska M. (2020) Options of Customization in Industrialized Methods of Construction in Terms of Construction 4.0. In: Blikharskyy Z., Koszelnik P., Mesaros P. (eds) Proceedings of CEE 2019. CEE 2019. Lecture Notes in Civil Engineering, vol 47. Springer, Cham
  • Evans, P. B. (2012). Embedded autonomy: States and industrial transformation. Princeton University Press.
  • Krishnamurthi R., Kumar A. (2020) Modeling and Simulation for Industry 4.0. In: Nayyar A., Kumar A. (eds) A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development. Advances in Science, Technology & Innovation (IEREK Interdisciplinary Series for Sustainable Development). Springer, Cham
  • AMM Sharif Ullah, Modeling and simulation of complex manufacturing phenomena using sensor signals from the perspective of Industry 4.0, Advanced Engineering Informatics, Volume 39, 2019, Pages 1-13, ISSN 1474-0346, https://doi.org/10.1016/j.aei.2018.11.003
  • Andreja Rojko, Industry 4.0 Concept: Background and Overview, International Journal of Interactive Mobile Technologies (IJIM), 2017 - journals.sfu.ca
  • Polenghi, A., Fumagalli, L., & Roda, I. (2018). Role of simulation in industrial engineering: focus on manufacturing systems. IFAC-PapersOnLine, 51(11), 496-501.
  • de Paula Ferreira, W., Armellini, F., & De Santa-Eulalia, L. A. (2020). Simulation in industry 4.0: A state-of-the-art review. Computers & Industrial Engineering, 106868.
There are 42 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Review Articles
Authors

Muhammet Arucu 0000-0001-7620-9044

Publication Date June 30, 2021
Published in Issue Year 2021 Volume: 5 Issue: 1

Cite

APA Arucu, M. (2021). Industry 4.0 – Holistic Perspective: Modeling and Simulation Implementations in Manufacturing Systems. Journal of Innovative Science and Engineering, 5(1), 50-63. https://doi.org/10.38088/jise.816023
AMA Arucu M. Industry 4.0 – Holistic Perspective: Modeling and Simulation Implementations in Manufacturing Systems. JISE. June 2021;5(1):50-63. doi:10.38088/jise.816023
Chicago Arucu, Muhammet. “Industry 4.0 – Holistic Perspective: Modeling and Simulation Implementations in Manufacturing Systems”. Journal of Innovative Science and Engineering 5, no. 1 (June 2021): 50-63. https://doi.org/10.38088/jise.816023.
EndNote Arucu M (June 1, 2021) Industry 4.0 – Holistic Perspective: Modeling and Simulation Implementations in Manufacturing Systems. Journal of Innovative Science and Engineering 5 1 50–63.
IEEE M. Arucu, “Industry 4.0 – Holistic Perspective: Modeling and Simulation Implementations in Manufacturing Systems”, JISE, vol. 5, no. 1, pp. 50–63, 2021, doi: 10.38088/jise.816023.
ISNAD Arucu, Muhammet. “Industry 4.0 – Holistic Perspective: Modeling and Simulation Implementations in Manufacturing Systems”. Journal of Innovative Science and Engineering 5/1 (June2021), 50-63. https://doi.org/10.38088/jise.816023.
JAMA Arucu M. Industry 4.0 – Holistic Perspective: Modeling and Simulation Implementations in Manufacturing Systems. JISE. 2021;5:50–63.
MLA Arucu, Muhammet. “Industry 4.0 – Holistic Perspective: Modeling and Simulation Implementations in Manufacturing Systems”. Journal of Innovative Science and Engineering, vol. 5, no. 1, 2021, pp. 50-63, doi:10.38088/jise.816023.
Vancouver Arucu M. Industry 4.0 – Holistic Perspective: Modeling and Simulation Implementations in Manufacturing Systems. JISE. 2021;5(1):50-63.

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