The contemporary global supply chain ecosystem faces unprecedented challenges stemming from geopolitical uncertainties, climate-induced disruptions, and evolving consumer demands. This research presents a comprehensive framework for establishing a blockchain-enabled multi-industry supply chain analytics exchange designed to enhance real-time resilience and provide actionable financial insights across diverse industrial sectors within the United States. Through the integration of distributed ledger technology with advanced analytics capabilities, this study demonstrates how organizations can achieve unprecedented levels of supply chain transparency, predictive resilience, and collaborative optimization. The proposed framework addresses critical gaps in current supply chain management practices by establishing secure, interoperable data-sharing mechanisms that enable real-time visibility into multi-tier supplier networks while maintaining competitive confidentiality. The research findings indicate that blockchain-enabled supply chain analytics can reduce disruption response times by up to 67% while improving financial forecasting accuracy by 42% across participating organizations.
Blockchain, Optimization, Climate Induced, Analytics, Supply chain.
IRE Journals:
Yusuff Taofeek Adeshina , Maduabuchi Okoji Ndukwe
"Establishing a Blockchain-Enabled Multi-Industry Supply-Chain Analytics Exchange for Real-Time Resilience and Financial Insights" Iconic Research And Engineering Journals Volume 7 Issue 12 2024 Page 599-610
IEEE:
Yusuff Taofeek Adeshina , Maduabuchi Okoji Ndukwe
"Establishing a Blockchain-Enabled Multi-Industry Supply-Chain Analytics Exchange for Real-Time Resilience and Financial Insights" Iconic Research And Engineering Journals, 7(12)