Theoretical approaches to AI in supply chain optimization: Pathways to efficiency and resilience

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Abstract

The integration of Artificial Intelligence (AI) into supply chain management has emerged as a pivotal avenue for enhancing efficiency and resilience in contemporary business operations. This paper explores various theoretical approaches to AI within the context of supply chain optimization, delineating pathways to achieve heightened performance and adaptability. Commencing with a historical overview, the paper delves into the evolution of AI techniques in supply chain management, elucidating how these methodologies have transformed the landscape of logistics and operations. Fundamental to this exploration is the discussion on mathematical modeling and algorithmic frameworks that underpin supply chain…

Citation impact

124
total citations
FWCI
39.12
Percentile
100%
References
52
Citations per year

Authors

3

Topics & keywords

Keywords
  • Resilience (materials science)
  • Supply chain
  • Computer science
  • Business
  • Materials science
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