@article{article_1836379, title={DIGITAL TWIN TECHNOLOGY FOR SMART URBAN WASTE MANAGEMENT}, journal={Soma Meslek Yüksekokulu Teknik Bilimler Dergisi}, volume={2}, pages={41–53}, year={2025}, DOI={10.47118/somatbd.1836379}, author={Çevik, Mehmet}, keywords={Dijital ikiz, Kentsel katı atık yönetimi, Enerji verimliliği, Akıllı şehirler, Sürdürülebilirlik, Döngüsel ekonomi.}, abstract={Rapid urbanization and population growth have escalated municipal solid waste (MSW) challenges, rendering traditional, reactive management systems inefficient and environmentally unsustainable. Digital Twin (DT) technology—dynamic virtual replicas of physical systems—offers a transformative solution for real-time monitoring and simulation, yet its application in MSW management remains nascent. This study proposes a comprehensive conceptual framework for integrating DT technology into municipal waste operations to enhance efficiency and sustainability. The methodology outlines a four-layer architecture integrating IoT sensors, AI-driven predictive modeling, and simulation tools to optimize the entire waste lifecycle. The proposed framework facilitates optimized routing, predictive maintenance, and energy analysis. The results suggest that implementing this model can significantly lower operational costs, mitigate greenhouse gas emissions, and support circular economy principles by enabling scenario testing and data-driven decision-making. Despite existing technical and economic barriers, the study concludes that DTs provide a vital pathway toward resilient, smart urban waste systems and recommends future real-world pilot studies to validate quantitative environmental and economic benefits.}, number={40}, publisher={Manisa Celal Bayar Üniversitesi}