Digital Twin (DT) technology offers unprecedented capabilities that are transforming supply chain management (SCM), delivering a new level of system-wide resilience, real-time insights and predictive analytics. Yet, the nascent research still lacks in terms of cohesion, with most studies being heavily centralised around technical solutions and missing strategic, managerial and empirical perspectives. In light of this gap, the current study provides a thorough bibliometric analysis of 99 peer-reviewed articles published from 2016 to 2024 selected from Scopus with analytical tools of Biblioshiny R package. The results clearly showed that there was a higher growth of DT-related SCM research after 2020, indeed due to significant intercontinental disruptions and the demand of resilient, sustainable, and intelligent infrastructure systems. Resilience in the supply chain, sustainability, interoperability, and AI-driven optimization are core themes. Importantly, while China, Germany, and the USA dominate in terms of number of papers produced, institutions such as The Hong Kong Polytechnic University are also leading in productivity metrics here. However, the analysis reveals important gaps—notably a lack of cross-border cooperation and empirical case studies as well as longitudinal research. Less developed but rich prospects, like the integration with blockchain, extended reality and physical internet also emerge as compelling themes. This work offers actionable insights into the way forward for researchers, policymakers, and industry leaders, calling for cross-disciplinary partnerships, real-world pilots, and frameworks for applying overarching compliance. This also advances the role of Digital Twins as a strategic enabler of a resilient and future-ready supply chain.