The evolution of man–machine interaction: the role of human in Industry 4.0 paradigm

References

• Almada Lobo, F. (2015). The Industry 4.0 revolution and the future of manufacturing execution systems (MES). Journal of Innovation Management Almada-Lobo JIM, 3(4), 16–21. https://doi.org/10.24840/2183-0606_003.004_0003
   Google Scholar
• Bolatana, G. I. S., Gozlub, S., Alpkanb, L., & Zaim, S. (2016). The impact of technology transfer performance on total quality management and quality performance. Procedia: Social and Behavioural Science, 235, 746–755. https://doi.org/10.1016/j.sbspro.2016.11.076
   Google Scholar
• Boon-itt, S., & Wong, C. Y. (2016). Empirical investigation of alternate cumulative capability models: A multi-method approach. Production Planning & Control, 27(4), 299–311. https://doi.org/10.1080/09537287.2015.1124299
   Web of Science ®Google Scholar
• Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 perspective, world academy of science, engineering and technology. International Journal of Information and Communication Engineering, 8(1).
   Google Scholar
• Di Nardo, M., Gallo, M., Madonna, M., & Santillo, L. C. (2015). A conceptual model of human behaviour in socio-technical systems. In H. Fujita & G. Guizzi (Eds.), Intelligent software methodologies, tools and techniques. SoMeT 2015, 598–609. Communications in computer and information science (Vol. 532). Springer.
   Google Scholar
• Di Nardo, M., Madonna, M., & Santillo, L. C. (2016). Safety management system: A system dynamics approach to manage risks in a process plant. International Review on Modeling and Simulations, 9(4), 256–264. 1974–9821. https://doi.org/10.15866/IREMOS.V9I4.9688
   Google Scholar
• Drath, R., & Horch, A. (2014). Industrie 4.0: Hit or hype? IEEE Industrial Electronics Magazine, 8(2), 56–58. https://doi.org/10.1109/MIE.2014.2312079
   Web of Science ®Google Scholar
• Ferdows, K., & De Meyer, A. (1990). Lasting improvements in manufacturing performance: In search of a new theory. Journal of Operations Management, 9(2), 168–184. https://doi.org/10.1016/0272-6963(90)90094-T
   Google Scholar
• Frank, G., Santos Dalenogare, L., & Ayala, N. F. (2019, April). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210(4), 15–26. https://doi.org/10.1016/j.ijpe.2019.01.004
   Web of Science ®Google Scholar
• Gorecky, D., Schmitt, M., & Loskyll, M. (2014). Detlef Zühlke: Human-machine-interaction in the industry 4.0 era. 12th IEEE International Conference on Industrial Informatics (INDIN). https://doi.org./10.1109/INDIN.2014.6945523
   Google Scholar
• Gu, Y., & Liu, Q. (2013, April). Research on the application of the internet of things in reverse logistics information management. Journal of Industrial Engineering and Management, 6(4), 963–973. https://doi.org/10.3926/jiem.793
   Google Scholar
• Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013, September). Internet of things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660. https://doi.org/10.1016/j.future.2013.01.010
   Web of Science ®Google Scholar
• Hecklau, F., Galeitzke, M., Flachs, S., & Kohl, H. (2016). Holistic approach for human re source management in Industry 4.0. Procedia CIRP, 54, 1–6. https://doi.org/10.1016/j.procir.2016.05.102
   Google Scholar
• Hermann, M., Pentek, T., & Otto, B. (2015). Design Principles for Industrie 4.0 Scenarios: A Literature Review – Working Paper no.01/2015.
   Google Scholar
• Koren, Y. (2006). General RMS characteristics. comparison with dedicated and flexible. In Reconfigurable manufacturing systems and transformable factories (p. 27–45). Berlin: Springer.
   Google Scholar
• Krugh, M., & Mears, L. (2018). A complementary cyber-human systems framework for industry 4.0 cyber-physical systems. Manufacturing Letters, 15(partB), 89–92. https://doi.org/10.1016/j.mfglet.2018.01.003
   Google Scholar
• Kumar, R., Haleem, A., Garg, S. K., & Singh, R. K. (2015, January). Automated guided vehicle configurations in flexible manufacturing systems: A comparative study. International Journal of Industrial and Systems Engineering, 21(2), 207. https://doi.org/10.1504/IJISE.2015.071510
   Google Scholar
• Kusiak, A. (2018). Smart manufacturing. International Journal of Production Research, 56(1–2), 508–517, Leading scholars in Production Research for the 55th volume anniversary of IJPR. https://doi.org/10.1080/00207543.2017.1351644
   Web of Science ®Google Scholar
• Lee, E. A. (2008). Cyber physical systems: Design challenges. 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC) (pp. 363–369). https://doi.org./10.1177/1753193408087104
   Google Scholar
• Lee, J., Bagheri, B., & Kao, H.-A. (2015). A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3(1), 18–23. https://doi.org/10.1016/j.mfglet.2014.12.001
   Google Scholar
• Lee, J., Kao, H.-A., & Yang, S. (2014). Service innovation and smart analytics for Industry 4.0 and big data environment. Procedia CIRP,16, 3–8. https://doi.org/10.1016/j.procir.2014.02.001
   Google Scholar
• Pawar, P., & Privedi, A. (2018). Device-to-device communication based IoT system: Benefits and challenges. IETE Technical Review, 362–374. https://doi.org/10.1080/02564602.2018.1476191
   Google Scholar
• Rüßmann, M., (2015). Industry 4.0: The future of productivity and growth in manufacturing industries (p. 14). Boston Consulting Group.
   Google Scholar
• Shroeder, R. G., Shah, R., & Peng, D. X. (2010, November). The cumulative capability ‘sand cone’ model revisited: A new perspective for manufacturing strategy. International Journal of Production Research, 49(13), 4879–4901. https://doi.org/10.1080/00207543.2010.509116
   Google Scholar
• Sony, M. (2018). Industry 4.0 and lean management: A proposed integration model and research propositions. Production & Manufacturing Research, 6(1), 416–432. https://doi.org/10.1080/21693277.2018.1540949
   Google Scholar
• Stewart, J., & Hamlin, B. (2011). What is HRD? - A definitional review and synthesis of the HRD domain. Journal of European Industrial Training, 35(3), 199–222. https://doi.org/10.1108/03090591111120377
   Google Scholar
• Wittenberg, C. (2016). Human-CPS interaction- requirements and human-machine interaction methods for the industry 4.0. IFAC-PapersOnline, 49(19), 1–644. https://doi.org/10.1016/j.ifacol.2016.10.602
   Google Scholar
• Wörn, H., Frey, D., & Keitel, J. (2000). Digital factory – Planning and running enterprises of the future. 26th Annual Conference of the IEEE Industrial Electronics Society, 2, 1286–1291. doi:10.1109/IECON.2000.972307
   Google Scholar
• Xu, E. L., & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941–2962. https://doi.org/10.1080/00207543.2018.1444806
   Web of Science ®Google Scholar