The complexity of automotive supply chains raises issues related to data integrity, collaboration with suppliers, and efficiency. traditional electronic data interchange (EDI) systems have challenges with transparency and real-time data tracking. Blockchain and business intelligence (BI) could provide ways forward, but until now, the integrated use of both in the automotive industry has not been fully explored. This study presented a sustainable framework based on the integration of Hyperledger Fabric blockchain, EDI and BI to improve supply chain transparency, efficiency and data integrity with the overall benefits being improved operational performance and setting competitive costs, enhanced collaboration between stakeholders, and improved environmental sustainability by reducing waste, improving logistics, and better use of resources. The proposed system aims to automate order processing, minimize errors with smart contracts, improve visibility and collaboration with a shared general ledger, and enable data-driven decision-making with BI dashboards. Future research should focus on real-world deployment and AI-driven predictive analytics to further improve supply chain management.

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Enhancing Automotive Supply Chain Efficiency and Sustainability: A Blockchain, Electronic Data Interchange, and Business Intelligence Implementation Approach

  • Khadija El Fellah,
  • Ikram El Azami,
  • Adil El Makrani

摘要

The complexity of automotive supply chains raises issues related to data integrity, collaboration with suppliers, and efficiency. traditional electronic data interchange (EDI) systems have challenges with transparency and real-time data tracking. Blockchain and business intelligence (BI) could provide ways forward, but until now, the integrated use of both in the automotive industry has not been fully explored. This study presented a sustainable framework based on the integration of Hyperledger Fabric blockchain, EDI and BI to improve supply chain transparency, efficiency and data integrity with the overall benefits being improved operational performance and setting competitive costs, enhanced collaboration between stakeholders, and improved environmental sustainability by reducing waste, improving logistics, and better use of resources. The proposed system aims to automate order processing, minimize errors with smart contracts, improve visibility and collaboration with a shared general ledger, and enable data-driven decision-making with BI dashboards. Future research should focus on real-world deployment and AI-driven predictive analytics to further improve supply chain management.