Open Access
ITM Web Conf.
Volume 46, 2022
International Conference on Engineering and Applied Sciences (ICEAS’22)
Article Number 03004
Number of page(s) 6
Section Artificial Intelligence in Supply Chain Management
Published online 06 June 2022
  1. H. Kagermann, W. D. Lukas., & W. Wahlster, “Industry 4.0: With the Internet of Things on the Way to the 4th Industrial Revolution. VDI nachrichten, 13, 2011. [Google Scholar]
  2. G. Di Bona, V. Duraccio, A. Silvestri, and A. Forcina, “Validation and application of a safety allocation technique (integrated hazard method) to an aerospace prototype,” In: Proceedings of the IASTED international conference on modelling, identification, and control, MIC. pp 284–290, 2014. [Google Scholar]
  3. D. Falcone, A. Silvestri, G. Bona, and al, “Study and modelling of very flexible lines through simulation”, 2010. [Google Scholar]
  4. D. Falcone, A. Silvestri, A. Forcina, and A. Pacitto, “Modeling and simulation of an assembly line: a new approach for assignment and optimization of activities of operators,” In: MAS (The International Conference on Modeling and Applied Simulation), Rome. pp 12–14, 2011 [Google Scholar]
  5. A. C. Pereire, J. Dinis-Carvalho, A. C. Alves, and P. Arezes, “How Industry 4.0 can enhance Lean practices,” FME Transactions, 47(4),810-822, 2019. [CrossRef] [Google Scholar]
  6. K. D.Thoben, S. Wiesner, and T. Wuest, ““Industrie 4.0” and smart manufacturing-a review of research issues and application examples,” International journal of automation technology, 11(1),4-16, 2017. [CrossRef] [Google Scholar]
  7. J. M. Koh., M. Sak, H.X. Tan, H. Liang, F. Folianto and T. Quek, “Efficient data retrieval for large-scale smart city applications through applied Bayesian inference”, Proceedings of the 10th, 2015 [Google Scholar]
  8. Hans W. Ittmann1, “The impact of big data and business analytics on supply chain management”, 2014. [Google Scholar]
  9. F. J. Villanueva, C. Aguirre, D. Villa, M. J. Santofimia and J. C. López, “Smart City data stream visualization using Glyphs”, Proceedings of the 8th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), pp. 399-403, IEEE, Birmingham, United Kingdom, 2014. [Google Scholar]
  10. P. Russom, “Big Data Analytics, TDWI Best Practices Report”, Fourth Quarter, 2011. [Google Scholar]
  11. International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 1-6, IEEE, Singapore. [Google Scholar]
  12. D. NamIoT,and M. Sneps-Sneppe, “Context-aware data discovery”, In Proceedings of the 16th International Conference on Intelligence in Next Generation Networks (ICIN), pp. 134-141, IEEE, Berlin, 2012. [Google Scholar]
  13. A. Corradi, G. Curatola, L. Foschini, R. Ianniello, and C. R. De Rolt, “Automatic extraction of POIs in smart cities: Big data processing in ParticipAct”, Proceedings of the International Symposium on Integrated Network Management, pp. 1059-1064, IEEE, Ottawa, 2015. [Google Scholar]
  14. A. Mohd, and al, “Improving material quality management and manufacturing organizations system through Industry 4.0 technologies,” Materials Today: Proceeding, 2021. [Google Scholar]
  15. L. Atzori, A. Iera, and G. Morabito, “The internet of things: A survey,” Computer Networks, 54(15),2787–2805, 2010. [Google Scholar]
  16. H.S. Birkel and E. Hartmann, “Internet of things– the future of managing supply chain risks,” Supply Chain Management: An International Journal, 2020. [Google Scholar]
  17. H. Golpîra, “A novel Multiple Attribute Decision Making approach based on interval data using U2P- Miner algorithm,” Data Knowl. Eng. 115 116–128, 2018. [CrossRef] [Google Scholar]
  18. R.H. Weber, “Internet of Things–New security and privacy challenges,” Comput. Law Secur. Rev. 26 (2010) 23–30. [CrossRef] [Google Scholar]

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