EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 354 (2026) EPJ Web Conf., 354 (2026) 04004 References
Open Access
Issue
EPJ Web Conf.
Volume 354, 2026
19th Global Congress on Manufacturing and Management (GCMM 2025)
Article Number 04004
Number of page(s) 13
Section Digital Twins, IoT, and Smart Manufacturing Systems
DOI https://doi.org/10.1051/epjconf/202635404004
Published online 02 March 2026
  1. Nguyên, H. V., & Phan, T. T, Impact of economic growth, international trade, and FDI on sustainable development in developing countries: Impact of economic growth, international trade and FDI: NH Viêt and PT Tu. Environment, Development & Sustainability, 27(2) (2025) [Google Scholar]
  2. Lu, Y., Morris, K. C., & Frechette, S, Current standards landscape for smart manufacturing systems. National Institute of Standards and Technology, NISTIR, 8107(3), 1–39 (2016) [Google Scholar]
  3. Sweis, G. J., Hiari, A., Thneibat, M., Hiyassat, M., Abu-Khader, W. S., & Sweis, R. J. Understanding the Causes of Material Wastage in the Construction Industry. Jordan Journal of Civil Engineering, 15(2) (2021). [Google Scholar]
  4. Cassoli, B. B., Jourdan, N., Nguyen, P. H., Sen, S., Garcia-Ceja, E., & Metternich, J, Frameworks for data-driven quality management in cyber-physical systems for manufacturing: A systematic review. Procedia CIRP, 112, 567–572 (2022) [Google Scholar]
  5. Sikka, M. P., Sarkar, A., & Garg, S, Artificial intelligence (AI) in textile industry operational modernization. Research Journal of Textile and Apparel, 28(1), 67–83 (2024) [Google Scholar]
  6. Vijayakumar, K., Dhanasekaran, C., Pugazhenthi, R., & Sivaganesan, S, Digital Twin for factory system simulation. International Journal of Recent Technology and Engineering, 8(1), 63–68 (2019) [Google Scholar]
  7. Kashpruk, N., Piskor-Ignatowicz, C., & Baranowski, J, Time series prediction in industry 4.0: A comprehensive review and prospects for future advancements. Applied sciences, 13(22), 12374 (2023) [Google Scholar]
  8. Baldassarre, A., De Lucia, M., Rossi, F., & Vannucci, M, Quality control in cloth production: a new system for real-time defect detection. In Sensors and Controls for Intelligent Manufacturing (Vol. 4191, pp. 45–54). SPIE. (2001) [Google Scholar]
  9. Majumdar, A., Das, A., Alagirusamy, R., & Kothari, V. K. (Eds.), Process control in textile manufacturing. Elsevier (2012) [Google Scholar]
  10. Barman, J., Wu, H. C., & Kuo, C. F. J, Development of a real-time home textile fabric defect inspection machine system for the textile industry. Textile Research Journal, 92(23-24), 4778–4788 (2022) [Google Scholar]
  11. Hariharan, V., & Sivaraman, K, Machine learning techniques for quality control in textile fabric manufacturing. In 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS) (pp. 902–907). IEEE (2024) [Google Scholar]
  12. Anagnostopoulos, C., Vergados, D., Kayafas, E., Loumos, V., & Stassinopoulos, G, A computer vision approach for textile quality control. The Journal of Visualization and Computer Animation, 12(1), 31–44 (2001) [Google Scholar]
  13. Lee, C. K. H., Ho, G. T. S., Choy, K. L., & Pang, G. K. H, A RFTD-based recursive process mining system for quality assurance in the garment industry. International journal of production research, 52(14), 4216–4238 (2014) [Google Scholar]
  14. Azeem, M., Shahid, M., Masin, I., & Petru, M, Design and development of textile-based wearable sensors for real-time biomedical monitoring; a review. The Journal of The Textile Institute, 116(1), 80–95 (2025) [Google Scholar]
  15. Azevedo, S. G., Prata, P., & Fazendeiro, P, The role of radio frequency identification (RFID) technologies in improving process management and product tracking in the textiles and fashion supply chain. In Fashion supply chain management using radio frequency identification (RFID) technologies (pp. 42–69). Woodhead Publishing (2014) [Google Scholar]
  16. Chang, R. I., Lee, C. Y., & Hung, Y. H, Cloud-based analytics module for predictive maintenance of the textile manufacturing process. Applied Sciences, 11(21), 9945 (2021) [Google Scholar]
  17. Manglani, H., Hodge, G. L., & Oxenham, W, Application of the internet of things in the textile industry. Textile Progress, 51(3), 225–297 (2019) [Google Scholar]
  18. Agrawal, T. K., Kumar, V., Pal, R., Wang, L., & Chen, Y, Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry. Computers & industrial engineering, 154, 107130 (2021) [Google Scholar]
  19. El Messiry, M., & El Messiry, A, Blockchain framework for textile supply chain management: Improving transparency, traceability, and quality. In International conference on blockchain (pp. 213–227). Springer International Publishing (2018). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.