Exploring the Intersection of Artificial Intelligence and Machine Learning in Supply Chain Management: A Structured Literature Review

Gayialis, Sotiris P.; Kechagias, Evripidis P.; Panayiotou, Nikolaos A.; Papadopoulos, Georgios A.; Papaioannou, Achillefs

doi:10.1007/978-3-031-71637-9_27

Published September 8, 2024 | Version v1

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Exploring the Intersection of Artificial Intelligence and Machine Learning in Supply Chain Management: A Structured Literature Review

1. National Technical University of Athens

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ISBN: 978-3-031-71637-9

European Commission
WATSON - A holistic frameWork with Anticounterfeit and inTelligence-based technologieS that will assist food chain stakehOlders in rapidly identifying and preveNting the spread of fraudulent practices. 101084265

Available: 2024-09-08

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Conference paper

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Springer, Cham

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Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024, 397–411. Chemnitz/Zwickau, Germany. ISBN: 978-3-031-71637-9.

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English

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Created: January 13, 2026
Modified: January 13, 2026

APMS_2024_F.pdf

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Exploring the Intersection of Artificial Intelligence and Machine Learning in Supply Chain Management: A Structured Literature Review

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