Smart Distributed Ledger Technologies in Industry 4.0: Challenges and Opportunities in Supply Chain Management

• Published in: Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity pp. 319 - 345
• Main Authors: Epiphaniou, Gregory, Bottarelli, Mirko, Al-Khateeb, Haider, Ersotelos, Nikolaos Th, Kanyaru, John, Nahar, Vinita
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing 2020
• Series: Advanced Sciences and Technologies for Security Applications
• Subjects: Artificial intelligence; Blockchain; Machine learning; Supply chain management
• ISBN: 9783030357450; 3030357457
• ISSN: 1613-5113; 2363-9466
• DOI: 10.1007/978-3-030-35746-7_15

The rise of new digital economies and data-driven supply-chains seeks to revolutionalise the ways information is transferred, processed and analysed across different industry segments in the value-creation. This data-driven manufacturing revolution promises to increase productivity, democratise data sharing capabilities and foster industrial growth in scales never seen before. The traditional transactional models are to be re-visited, and distributed data storage architectures are to be re-designed to accommodate for optimised data flows across different organisation units. Data is increasingly becoming a strategic business resource that through innovation in existing sharing and processing approaches can decompose business bottlenecks in existing production lines and processes and disrupt traditional supply-chain models. This work seeks to articulate a state-of-the-art review of the application and impact of ML techniques and distributed Ledger technologies to further disrupt supply-chain capabilities with regards to data accuracy and completeness.