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Immersive Digital Twin Integration in the Metaverse for Supply Chain Resilience and Disruption Management
Charles Onyeka Nwamekwe, Emeka Celestine Nwabunwanne

Immersive Digital Twin Integration in the Metaverse for Supply Chain Resilience and Disruption Management

Science & Mathematics Published 2025 Verification Pending

Overview & Synopsis

The growing complexity and volatility of global supply chains necessitate the adoption of advanced technological solutions to enhance resilience and disruption management. This research explores the integration of immersive Digital Twins (DTs) within the Metaverse as a transformative approach to mitigating supply chain risks. Digital Twins, augmented with Virtual Reality (VR), Augmented Reality (AR), Artificial Intelligence (AI), Internet of Things (IoT), and blockchain, offer realtime predictive analytics, simulation, and decision-making capabilities. The study examines the role of the Metaverse in enhancing supply chain visualization, predictive risk management, and multi-stakeholder collaboration. Furthermore, it identifies key challenges such as high infrastructure costs, cybersecurity vulnerabilities, and regulatory constraints while proposing future research directions in AI-driven autonomous decision-making, advancements in edge computing and 6G connectivity, and the development of standardization frameworks. By leveraging immersive DTs in the Metaverse, organizations can improve supply chain agility, optimize crisis response, and ensure sustainable operations in an increasingly unpredictable business environment.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Immersive Digital Twin Integration in the Metaverse for Supply Chain Resilience and Disruption Management
Author / Organization Charles Onyeka Nwamekwe, Emeka Celestine Nwabunwanne
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2025
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-58519
Original Source Link Visit Source Page on hal.science »