Open Access
Issue
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
Article Number 00058
Number of page(s) 7
DOI https://doi.org/10.1051/e3sconf/202568000058
Published online 19 December 2025
  1. T.R. Kurfess, C. Saldana, K. Saleeby, M. Parto Dezfouli, A Review of Modern Communication Technologies for Digital Manufacturing Processes in Industry 4.0, J. Manuf. Sci. Eng. 142 (2020). Available from: https://doi.org/10.1115/1.4048206 [Google Scholar]
  2. A. Hosseinzadeh, F. Frank Chen, M. Shahin, H. Bouzary, A predictive maintenance approach in manufacturing systems via AI-based early failure detection, Manufacturing Letters, 35 (2023). Available from: https://doi.org/10.1016/j.mfglet.2023.08.125 [Google Scholar]
  3. J. Huang, M. Irfan, S.S. Fatima, R.M. Shahid, The role of lean Six Sigma in driving sustainable manufacturing practices: An analysis of the relationship between lean six sigma principles, data-driven decision making, and environmental performance, Front. Environ. Sci., 11 (2023). Available from: https://doi.org/10.3389/fenvs.2023.1184488 [Google Scholar]
  4. A. Goyal, Reducing Defect Rates with AI-Powered Test Engineering and JIRA Automation in Agile Workflows. International Journal of Current Engineering and Technology, 13 (2023). [Google Scholar]
  5. D. Marsetiya Utama, M. Abirfatin, Sustainable Lean Six-sigma: A new framework for improve sustainable manufacturing performance, Cleaner Engineering and Technology, 17 (2023). Available from: https://doi.org/10.1016/j.clet.2023.100700 [Google Scholar]
  6. C. Lee, Y. Zhang, X. Chen, AI-Driven predictive maintenance in smart manufacturing: Enhancing efficiency through deep learning models, Journal of Information Systems Engineering and Management, 10 (2025). [Google Scholar]
  7. S. Sundaram, A. Zeid, Artificial Intelligence-Based smart quality inspection for manufacturing, Micromachines, 14 (2023), Available from: https://doi.org/10.3390/mi14030570 [Google Scholar]
  8. M. Zuefle, C. Rennpferdt, D. Krause, Cross-departmental and cross-disciplinary product development – An industry survey on the necessity and future development of cross-departmental and cross-disciplinary perspectives, Procedia CIRP, 11 (2021). Available from: https://doi.org/10.1016/j.procir.2021.05.147 [Google Scholar]
  9. J. Antony, Six Sigma vs. Lean: Some Perspectives from Leading Academics and Practitioners, International Journal of Productivity and Performance Management, 60 (2011). Available from: https://doi.org/10.1108/17410401111101494 [Google Scholar]
  10. S.B. Rane, S. Wavhal, P.R. Potdar, Integration of Lean Six Sigma with Internet of Things (IoT) for productivity improvement: A case study of contactor manufacturing industry, Int J Syst Assur Eng Manag, 14 (2023). Available from: https://doi.org/10.1007/s13198-023-01980-7 [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.