Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity |
| Editors | Hamid Jahankhani, Stefan Kendzierskyj, Nishan Chelvachandran, Jaime Ibarra |
| Chapter | 15 |
| Pages | 319–345 |
| Number of pages | 26 |
| Edition | 1 |
| ISBN (Electronic) | 978-3-030-35746-7 |
| DOIs | |
| Publication status | E-pub ahead of print - 7 Apr 2020 |
Publication series
| Name | Advanced Sciences and Technologies for Security Applications book series (ASTSA) |
|---|---|
| Publisher | Springer Cham |
| ISSN (Print) | 1613-5113 |
| ISSN (Electronic) | 2363-9466 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Blockchain
- Supply chain management
- Machine learning
- Artificial intelligence
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