Leveraging digital twin technology for end-to-end supply chain optimization and disruption mitigation in global logistics

The global logistics landscape is experiencing unprecedented transformation, driven by rapid technological advancements and increasing complexity of supply chain networks. Digital twin technology emerges as a revolutionary approach to supply chain management, offering comprehensive solutions for optimization and disruption mitigation. This comprehensive review examines the transformative potential of digital twin technologies in revolutionizing global logistics through systematic analysis of existing literature, implementation frameworks, and case studies. Our investigation reveals that digital twin implementation can potentially reduce operational costs by 30-40%, decrease supply chain disruption times by up to 60%, and improve overall supply chain resilience through advanced predictive modeling. The research synthesizes evidence from multiple domains, demonstrating digital twins' capacity to address critical challenges in contemporary supply chain management. By exploring emerging trends, implementation mechanisms, and critical challenges, this review provides a balanced perspective on the opportunities and limitations of digital twin technologies. The findings suggest that while digital twins present promising solutions for supply chain optimization, successful implementation requires careful consideration of technical infrastructure, data integration strategies, and organizational capabilities.