Leveraging AI to Enhance Extended Producer Responsibility Compliance in Construction Waste Management

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.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.os27-4
Primary Topic
Recycled Aggregate Concrete Performance
Type
article
Field-Weighted Citation Impact
0.00

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article

Leveraging AI to Enhance Extended Producer Responsibility Compliance in Construction Waste Management

Muhammad Azizi Azizan, Hazry Desa, Nur Amierah Harun, Mohamed Fuad Shahariman
Proceedings of International Conference on Artificial Life and Robotics
Recycled Aggregate Concrete Performance
article

Leveraging AI to Enhance Extended Producer Responsibility Compliance in Construction Waste Management

Muhammad Azizi Azizan, Hazry Desa, Nur Amierah Harun, Mohamed Fuad Shahariman
article en

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.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Universiti Malaysia Perlis (MY)
Universiti Malaysia Perlis
Openalex Percentile: Top 93%
Recycled Aggregate Concrete Performance
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