• Pardon Jeffasi Muzondo
• Luckmore marodza
• Spencer Masiiwa

Digital twin (DT) technology has emerged as a transformative enabler of visibility, responsiveness, and strategic agility in supply chain management (SCM). This study presents a systematic literature review (SLR) of 45 peer-reviewed articles published between 2023 and 2025, aimed at identifying thematic trends, implementation challenges, and strategic contributions of DTs within SCM contexts. The review employs thematic synthesis to extract six dominant clusters: evolution of DT applications, real-time monitoring, risk and resilience management, integration and interoperability challenges, performance measurement frameworks, and future-orientated trends. Key findings reveal that while DTs offer substantial potential in areas such as predictive analytics and scenario modelling, their adoption is frequently constrained by organisational inertia, integration barriers, and lack of performance alignment with strategic key performance indicators (KPIs). Drawing from these findings, the study develops a three-tier conceptual framework comprising (1) enablers of DT adoption (e.g., infrastructure, data governance), (2) core DT capabilities (e.g., real-time sensing, predictive analytics), and (3) strategic supply chain outcomes (e.g., resilience, efficiency, sustainability). The framework positions DTs as socio-technical systems that require technological investment, cultural readiness, and strategic clarity. The study contributes to both theory and practice by offering a structured guide for DT adoption, with implications for supply chain leaders, IT strategists, and policymakers seeking to foster resilient and ethically driven digital ecosystems.

Digital Twin Technology; Supply Chain Management; Predictive Analytics; Resilience; Interoperability.

"Digital Twin Technology in Supply Chain Management: A Systematic Literature Review and Future Research Agenda", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.h185-h198, July-2025, Available :http://www.jetir.org/papers/JETIR2507725.pdf

"Digital Twin Technology in Supply Chain Management: A Systematic Literature Review and Future Research Agenda", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pph185-h198, July-2025, Available at : http://www.jetir.org/papers/JETIR2507725.pdf