Network Virtualization for Smart Automotive Supply Chains: A Cloud–NFV–CPS Integration Framework
DOI:
https://doi.org/10.63995/JLTN3377Keywords:
Cloud Computing, Network Function Virtualization (NFV), Cyber-Physical Systems (CPS), Internet of Things (IoT), Supply Chain Virtualization, Real-Time Optimization, Automotive IndustryAbstract
In the automotive industry, the shift to digitally integrated and intelligent manufacturing ecosystems is required, and real-time adaptability, transparency, and efficiency at all levels of the supply chain are needed. In this paper, a virtualized network architecture is suggested comprising of cloud computing, network function virtualization (NFV), and cyber-physical systems (CPS) to support coordinated and low-latency communication between distributed automotive stakeholders. To model interactions within a virtualised supply-chain network between customers, distributors, showrooms and manufacturers, a client-server simulation model was created. The system supports coordinated data transfer, on-demand resource provisioning, and unproblematic scaling with a small hardware footprint. The experimental assessment shows a significant increase in the efficiency of communication, inventory balance, and responsiveness of operations. Furthermore, the framework integrates AI-driven analytics, blockchain-provided traceability, and IoT-driven sensing to improve predictive and autonomous decision-making. The suggested solution proves that virtualization and intelligent networking can change standard supply chains into adaptable, transparent, and sustainable systems and thus offer a potential technological backbone to Industry 4.0 and smart-manufacturing in the future.
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© The Author(s). Published by Fusion of Multidisciplinary Research, An International Journal (FMR), Netherlands.
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