Leveraging Artificial Intelligence for Sustainable Electronics Manufacturing Supply Chains
Gautam Nandkishore Nayak
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2025, vol. 11, issue 1, 210-221
Abstract:
This technical article examines the transformative role of Artificial Intelligence in developing sustainable supply chains within the electronics manufacturing sector. The article explores how AI technologies are revolutionizing sustainability practices across the industry, from resource optimization to waste management. By analyzing current challenges, AI-enabled solutions, and implementation frameworks, this research demonstrates how advanced technologies are enabling manufacturers to achieve significant improvements in environmental performance while maintaining operational efficiency. The article encompasses various aspects of sustainability, including supply chain transparency, resource utilization, carbon footprint reduction, and organizational transformation, providing a comprehensive overview of how AI is reshaping the future of sustainable electronics manufacturing.
Keywords: Artificial Intelligence in Manufacturing; Environmental Impact Reduction; Industry 4.0 Implementation; Smart Manufacturing Infrastructure; Sustainable Electronics Supply Chain (search for similar items in EconPapers)
Date: 2025
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25111230
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ijsrcseit.com/home/article/view/CSEIT25111230 Article URL (text/html)
https://ijsrcseit.com/home/article/download/CSEIT25111230/CSEIT25111230 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v11:y2025:i1:id:671
DOI: 10.32628/CSEIT25111230
Access Statistics for this article
More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma ().