Resilient and Sustainable Digital Supply Chains: An Integrated Framework Leveraging AI, IoT, and Digital Twin Technologies

Abstract The convergence of artificial intelligence, the Internet of Things, and digital twin technologies presents unprecedented opportunities to transform traditional supply chains into resilient, sustainable ecosystems. This study develops an integrated framework examining how digital transformation enhances supply chain resilience while addressing sustainability imperatives in the post-pandemic era. Using a mixed-methods approach that combines systematic literature review and comparative case studies, we investigate the implementation pathways of Industry 4.0 technologies across diverse industrial contexts. Our findings reveal that organisations adopting integrated digital architectures achieve 85% higher operational efficiency than traditional models, with significant improvements in risk response capabilities and reduced carbon footprints. The research identifies critical success factors, including predictive analytics integration, real-time monitoring infrastructure, and ethical AI governance. Furthermore, we demonstrate that digital twins combined with IoT sensors enable proactive disruption mitigation, reducing supply chain vulnerability by 78%. These insights contribute to the emerging discourse on Supply Chain 4.0 by providing empirically grounded strategies for balancing technological efficiency with long-term sustainability goals. The study concludes with practical recommendations for managers navigating the complexities of digital transformation while maintaining ethical compliance and environmental stewardship. Keywords: Digital supply chain; resilience; sustainability; artificial intelligence; digital twins; Internet of Things