References
- Brocal, F., González, C., Komljenovic, D., Katina, P. F., & Sebastián, M. A., 201). Emerging Risk Management in Industry 4.0, An Approach to Improve Organizational and Human Performance in the Complex Systems [Research article]. https://doi.org/10.1155/2019/2089763
- DI_HC-Trends-2019.pdf. (n.d.). Retrieved from https://www2.deloitte.com/content/dam/insights/us/articles/5136_HC-Trends-2019/DI_HC-Trends-2019.pdf
- Ihs-markit-digital-orbit-brochure.pdf. (n.d.). Retrieved from https://cdn.ihs.com/www/pdf/0419/ihs-markit-digital-orbit-brochure.pdf
- Kim, S., & Park, S., 2017. CPS(Cyber Physical System) based Manufacturing System Optimizatio, Procedia Computer Science, 122, 518–524. https://doi.org/10.1016/j.procs.2017.11.40110.1016/j.procs.2017.11.401
- Li, B., Hou, B., Yu, W., Lu, X., & Yang, C., 2017. Applications of artificial intelligence in intelligent manufacturing, A review. Frontiers of Information Technology & Electronic Engineering, 18(1), 86–96. https://doi.org/10.1631/FITEE.160188510.1631/FITEE.1601885
- Lu, Y., & Ju, F., 2017. Smart Manufacturing Systems based on Cyber-physical Manufacturing Services (CPMS), IFAC-PapersOnLine, 50(1), 15883–15889. https://doi.org/10.1016/j.ifacol.2017.08.234910.1016/j.ifacol.2017.08.2349
- Monostori, L., 2014. Cyber-physical Production Systems: Roots, Expectations and R&D Challenges. Procedia CIRP, 17, 9-13. https://doi.org/10.1016/j.procir.2014.03.11510.1016/j.procir.2014.03.115
- Pan, Y., 2016. Heading toward Artificial Intelligence 2.0. Engineering, 2(4), 409-413. https://doi.org/10.1016/J.ENG.2016.04.018
- Scalability of intelligent automation technologies directly linked to financial performance, finds KPMG survey—KPMG Global. (2019, May 21). Retrieved 9 September 2019, from KPMG website: https://home.kpmg/xx/en/home/media/press-releases/2019/03/scalability-of-intelligent-automation-technologies-directly-linked-to-financial-performance.html
- Stock, T., Seliger, G., 2016. Opportunities of Sustainable Manufacturing in Industry 4.0. Procedia CIRP, 40, 536–541. https://doi.org/10.1016/j.procir.2016.01.129
- The-State-of-AI-2019-Divergence.pdf. (n.d.). Retrieved from https://www.mmcventures.com/wp-content/uploads/2019/02/The-State-of-AI-2019-Divergence.pdf
- UNITED NATIONS DEPARTMENT FOR ECONOMIC AND SOCIAL AFFAIRS. 2019. WORLD POPULATION PROSPECTS 2019: Highlights. S.l.: UNITED NATIONS.
- WE_AI_Report_2018.pdf. (n.d.). Retrieved from https://pulse.microsoft.com/uploads/prod/2018/10/WE_AI_Report_2018.pdf
- WEF_Future_of_Jobs_2018.pdf. (n.d.). Retrieved from http://www3.weforum.org/docs/WEF_Future_of_Jobs_2018.pdf
- Where machines could replace humans—And where they can’t (yet) | McKinsey. (n.d.). Retrieved 9 September 2019, from https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/where-machines-could-replace-humans-and-where-they-cant-yet