Deep learning in logistics: a systematic review

Khaoula Sahraoui, Samia Aitouche and Karima Aksa

International Journal of Logistics Systems and Management, 2024, vol. 47, issue 2, 246-266

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.

Keywords: logistics; deep learning; state of the art; systematic literature review; SLR. (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:47:y:2024:i:2:p:246-266

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