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Applying Artificial Intelligence in the Supply Chain

In: The Palgrave Handbook of Supply Chain Management

Author

Listed:
  • Madhavi Latha Nandi

    (Appalachian State University)

  • Santosh Nandi

    (Appalachian State University)

  • Dinesh Dave

    (Appalachian State University)

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).

Suggested Citation

  • Madhavi Latha Nandi & Santosh Nandi & Dinesh Dave, 2024. "Applying Artificial Intelligence in the Supply Chain," Springer Books, in: Joseph Sarkis (ed.), The Palgrave Handbook of Supply Chain Management, pages 1241-1273, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-19884-7_77
    DOI: 10.1007/978-3-031-19884-7_77
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