| Title: | OS27-4 Leveraging AI to Enhance Extended Producer Responsibility Compliance in Construction Waste Management |
|---|---|
| Publication: | ICAROB2025 |
| Volume: | 30 |
| Pages: | 793-798 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2025.OS27-4 |
| Author(s): | Mohamed Fuad Shahariman, Muhammad Azizi Azizan, Hazry Desa, Nur Amierah Harun |
| Publication Date: | February 13, 2025 |
| Keywords: | Extended Producer Responsibility (EPR), construction waste management, artificial intelligence, compliance automation, sustainability, data analytics |
| Abstract: | Extended Producer Responsibility (EPR) mandates that producers are accountable for the environmental impact of their products throughout their lifecycle, including waste management. In the construction industry, complying with EPR regulations presents challenges due to the diverse nature of materials and the complexity of projects. This paper explores integrating artificial intelligence (AI) technologies to streamline and enhance EPR compliance in construction waste management. By automating data collection, analysis, and reporting, AI systems offer opportunities to improve efficiency, accuracy, and transparency. This study demonstrates the potential of AI-driven solutions to revolutionize EPR compliance in construction, leading to significant environmental and economic benefits. |
| PDF File: | https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS27/OS27-4.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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