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Deep learning in logistics: a systematic review

Author

Listed:
  • Khaoula Sahraoui
  • Samia Aitouche
  • Karima Aksa

Abstract

Logistics is one of the main tactics that countries and businesses are improving in order to increase profits. Another prominent theme in today's logistics is emerging technologies. Today's developments in logistics and industry are how to profit from collected and accessible data to use it in various processes such as decision making, production plan, logistics delivery programming, and so on, and more specifically deep learning methods. The aim of this paper is to identify the various applications of deep learning in logistics through a systematic literature review. A set of research questions had been identified to be answered by this article.

Suggested Citation

  • Khaoula Sahraoui & Samia Aitouche & Karima Aksa, 2024. "Deep learning in logistics: a systematic review," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 47(2), pages 246-266.
    • Handle: RePEc:ids:ijlsma:v:47:y:2024:i:2:p:246-266
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