2024 - Sustainable Industrial Processing Summit
SIPS 2024 Volume 14. Intl. Symp on Advanced Materials, Manufacturing, Magnesium and Aluminum
| Editors: | F. Kongoli, F. Marquis, N. Chikhradze, T. Prikhna, E. Suhir, Y. Yang |
| Publisher: | Flogen Star OUTREACH |
| Publication Year: | 2024 |
| Pages: | 258 pages |
| ISBN: | 978-1-998384-30-3 (CD) |
| ISSN: | 2291-1227 (Metals and Materials Processing in a Clean Environment Series) |
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AI-DRIVEN INNOVATIONS FOR SUSTAINABILITY IN THE ALUMINUM SUPPLY CHAIN
Van Mendoza1;1STRATA RESOURCES, Castaic, United States;
Type of Paper: Regular
Id Paper: 531
Topic: 37
Abstract:
The aluminum industry faces an unprecedented crisis, characterized by significant environmental degradation and resource depletion. As one of the most energy-intensive sectors, its impact on global greenhouse gas emissions is alarming, necessitating immediate and innovative solutions. This poster investigates the transformative potential of AI-driven technologies in revolutionizing sustainable sourcing practices and enhancing supply chain transparency, positioning them as essential tools for combating these challenges.
By harnessing real-time data analytics and advanced machine learning algorithms, we examine how AI can optimize resource efficiency, improve visibility, and substantially reduce carbon footprints. For example, companies such as Alcoa have reported a 20% decrease in emissions following the implementation of AI systems for energy monitoring, which also enhance supply chain traceability and accountability. Our research poses critical questions: How can AI facilitate ethical sourcing in complex supply chains, and what specific metrics should guide sustainability impact assessments?
Employing a mixed-methods approach, our analysis includes qualitative case studies alongside quantitative data, revealing significant correlations between AI integration and improved sustainability outcomes. Furthermore, we explore interdisciplinary insights from materials science and environmental policy, illustrating the broader implications of AI innovations for transparency and ethical practices.
This work serves as a catalyst for deeper discussion and collaboration among industry leaders, policymakers, and researchers, advocating for a concerted effort toward sustainable development. We conclude with a call to action for further exploration of AI’s role in creating a more resilient and sustainable aluminum supply chain, aiming not just to meet current challenges but to redefine industry standards for the future.