Artificial Intelligence Opportunities for Resilient Supply Chains

被引:0
|
作者
Sunmola, Funlade [1 ]
Baryannis, George [2 ]
机构
[1] Univ Hertfordshire, Sch Engn & Technol, Hatfield AL10 9AB, Herts, England
[2] Univ Huddersfield, Sch Comp & Engn, Huddersfield HD1 3DH, W Yorkshire, England
来源
IFAC PAPERSONLINE | 2024年 / 58卷 / 19期
关键词
supply chain resilience; artificial intelligence; explainability; industry; 5.0; MANAGEMENT;
D O I
10.1016/j.ifacol.2024.09.195
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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. Copyright (C) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页码:813 / 818
页数:6
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