Optimization of Machine Learning Algorithms for Enhancing Cybersecurity in Cloud Computing Environments

Abstract

The shift toward sustainability in the manufacturing industry has led to the increasing adoption of circular economy (CE) principles to optimize sustainable supply chain management (SSCM). Traditional linear supply chains contribute to resource depletion, waste generation, and environmental degradation, necessitating a more resilient and resource-efficient approach. Integrating CE principles into SSCM presents opportunities to enhance waste minimization, resource recovery, and economic viability, yet challenges remain in terms of implementation, scalability, and regulatory compliance. This study aims to assess the role of CE in optimizing SSCM within the manufacturing industry by examining how closed-loop production, remanufacturing, and product lifecycle extension contribute to economic, environmental, and operational efficiency. Using a qualitative systematic literature review, this research analyzes studies from peer-reviewed journals, industry reports, and policy documents published in the last five years. A thematic analysis was conducted to identify key drivers, challenges, and best practices in implementing CE within SSCM frameworks. The findings indicate that CE-driven SSCM significantly improves waste reduction, resource optimization, and cost efficiency. Strategies such as reverse logistics, eco-design, and digital innovations (e.g., blockchain and IoT) play a crucial role in minimizing environmental impact while maintaining profitability. However, regulatory barriers, technological limitations, and high initial investment costs remain significant obstacles to widespread adoption. The successful integration of CE principles into SSCM requires cross-sector collaboration, technological advancements, and supportive policy frameworks. By fostering data-driven decision-making and circular business models, companies can enhance economic resilience, sustainability, and long-term competitiveness in the manufacturing industry. Future research should focus on scalability strategies, performance assessment metrics, and policy interventions to strengthen SSCM practices and promote a more sustainable industrial ecosystem