Present state and future application of smart technologies in manufacturing processes

• Autorzy: Chmielarz Grzegorz

Identyfikatory

DOI

10.30657/pea.2019.24.04.

• Języki publikacji: EN

Abstrakty

EN

The paper concentrates on the issues of applying smart technologies in the manufacturing processes. The author includes in it brief descriptions of the smart technologies that contributed to the emergence of Industry 4.0 concept. Additionally, based on reports and surveys conducted on a global scale re-garding the application of intelligent technologies, the author analyses the current state of implementing these technologies in manufacturing processes and provides forecasts regarding the adoption of the solutions based on Artificial Intelligence in global enterprises in the near future.

Słowa kluczowe

EN

artificial intelligence; intelligent automation; Cyber-Physical Systems; Internet of things; Robotic Process Automation

PL

inteligentne technologie; sztuczna inteligencja; Internet przedmiotów; automatyzacja

• Wydawca: Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji
• Czasopismo: Production Engineering Archives
• Rocznik: 2019
• Tom: Vol. 24
• Strony: 14--19
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Chmielarz Grzegorz

• Czestochowa University of Technology, Jana Henryka Dabrowskiego, 42-201 Czestochowa, Poland

Bibliografia

• 1.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
• 2. 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
• 3. Ihs-markit-digital-orbit-brochure.pdf. (n.d.). Retrieved from https://cdn.ihs.com/www/pdf/0419/ihs-markit-digital-orbit-brochure.pdf
• 4. 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.2017.11.401
• 5. 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.1601885
• 6. 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.2017.08.2349
• 7. 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.2014.03.115
• 8. Pan, Y., 2016. Heading toward Artificial Intelligence 2.0. Engineering, 2(4), 409-413. https://doi.org/10.1016/J.ENG.2016.04.018
• 9. 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/scalabil-ity-of-intelligent-automation-technologies-directly-linked-to-financial-performance.html
• 10. 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
• 11. 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
• 12. UNITED NATIONS DEPARTMENT FOR ECONOMIC AND SOCIAL AFFAIRS. 2019. WORLD POPULATION PROSPECTS 2019: High-lights. S.l.: UNITED NATIONS.
• 13. WE_AI_Report_2018.pdf. (n.d.). Retrieved from https://pulse.mi-crosoft.com/uploads/prod/2018/10/WE_AI_Report_2018.pdf
• 14. WEF_Future_of_Jobs_2018.pdf. (n.d.). Retrieved from http://www3.wefo-rum.org/docs/WEF_Future_of_Jobs_2018.pdf
• 15. Where machines could replace humans—And where they can’t (yet) | McKin-sey. (n.d.). Retrieved 9 September 2019, from https://www.mckin-sey.com/business-functions/digital-mckinsey/our-insights/where-ma-chines-could-replace-humans-and-where-they-cant-yet

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).