GLOBAL SUPPLY CHAINS: A CYBER-PHYSICAL ARCHITECTURE INTEGRATING BLOCKCHAIN, ARTIFICIAL INTELLIGENCE, AND PREDICTIVE ANALYTICS FOR ECOSYSTEMIC RESILIENCE
Keywords:
Logistics 4.0, Supply Chain Resilience, Blockchain, Artificial Intelligence, Predictive Analytics, Cyber-Physical Systems, Bullwhip Effect Mitigation.Abstract
Global supply chains have transitioned from linear, predictable pipelines into highly volatile, interconnected, and non-linear networks. The compounding frequencies of black-swan events, geopolitical frictions, and anthropogenic disruptions expose the structural vulnerabilities of traditional supply chain paradigms. This paper conceptualizes and evaluates a multi-layered Cyber-Physical Supply Chain Architecture
References
Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. International Journal of Logistics Management, 15(2), 1-14. Ivanov, D., & Dolgui, A. (2020). A digital twin-driven cyber-physical system for resilient supply chains. International Journal of Production Research, 58(24), 7654-7674.
Kouhizadeh, M., Saberi, S., & Sarkis, J. (2021). Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers. International Journal of Production Economics, 231, 107831.
Wamba, S. F., & Queiroz, M. M. (2020). Blockchain in the operations and supply chain management domain: A systematic review and future research agenda. Annals of Operations Research, 290(1), 715-738.
Choi, T. M. (2021). Risk analysis in logistics and supply chain management: A review of advanced machine learning and deep learning applications. Transportation Research Part E: Logistics and Transportation Review, 152, 102422.
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