Artificial Intelligence Opportunities for Resilient Supply Chains
Sunmola, Funlade and Baryannis, George
(2024)
Artificial Intelligence Opportunities for Resilient Supply Chains.
IFAC-PapersOnLine, 58 (19).
pp. 813-818.
ISSN 2405-8971
The need for supply chains to be resilient is increasingly being recognised, following recent disruptions caused by global socioeconomic crises. Supply chain resilience allows for sustainable growth and development through adaptive capabilities, principally including the ability to effectively respond to disruptions to maintain consistent operations. This paper explores the opportunities presented by Artificial Intelligence (AI) in enhancing supply chain resilience. We first conceptualise resilience through a 4-C model: context, capabilities, choices, and contingencies. We then explore a range of AI approaches and develop a research roadmap that attempts to map particular technologies holding potential to the 4-C model.
Item Type | Article |
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Additional information | © 2024. The Authors. Peer review under responsibility of International Federation of Automatic Control. This is an open access article under the Creative Commons Attribution Non-Commercial No-Derivatives CC BY-NC-ND licence, https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Keywords | artificial intelligence, explainability, industry 5.0, supply chain resilience, control and systems engineering |
Date Deposited | 15 May 2025 15:35 |
Last Modified | 09 Jun 2025 23:12 |