Applying Artificial Intelligence in the Supply Chain

Madhavi Latha Nandi (), Santosh Nandi () and Dinesh Dave ()
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Madhavi Latha Nandi: Appalachian State University
Santosh Nandi: Appalachian State University
Dinesh Dave: Appalachian State University

A chapter in The Palgrave Handbook of Supply Chain Management, 2024, pp 1241-1273 from Springer

Abstract: Abstract This chapter covers the applications of artificial intelligence (AI) in supply chain management (SCM). We elaborate on the applications of seven categories of AI – namely, artificial neural networks, expert systems, machine learning, genetic algorithms, agent-based systems, fuzzy logic, and rough set theory – to supply chain management processes using the supply chain operations reference (SCOR) model which are elaborated. A framework for SCM practitioners is provided. This framework highlights the AI task context and the AI knowledge source context (the What) in the SCOR activity (the Where). The framework also includes an algorithmic description (the How).

Keywords: Artificial intelligence; Supply chain management; Artificial neural networks; Expert systems; Machine learning; Genetic algorithms; Agent-based systems; Fuzzy logic; Rough set theory (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-19884-7_77

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DOI: 10.1007/978-3-031-19884-7_77

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