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Exploring the role of drones and UAVs in logistics and supply chain management: a novel text-based literature review

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posted on 2025-03-06, 00:51 authored by Hamed Jahani, Yunes Khosravi, Bahareh Kargar, Kok-Leong Ong, Sobhan AsianSobhan Asian

Abstract:

Drones and Unmanned Aerial Vehicles (UAVs) have evolved into advanced instruments with diverseapplications within the Logistics and Supply Chain (LSC) sector. Our study uncovers a significantdisparity highlighted through an examination of recent review papers, indicating a deficiency in athorough examination of the applications of drones/UAVs across the entirety of supply chains. Dueto the abundance of publications in this field, a fresh analytical approach is required. Employinga novel text mining approach, qualitative assessments, and temporal trend analysis, we examinea dataset encompassing 5364 papers from Scopus spanning the years 1978 to 2023. By employ-ing the Latent Dirichlet Allocation (LDA) model, we identify ten distinct research topics within thedomain. Our findings suggest four promising future research directions: (1) fostering sustainable SCsthrough innovative drone-based solutions, (2) harnessing emerging technologies to achieve globalscalability within drone-based SCs, (3) exploring the applications of drone-based supply chains inpandemic control efforts, and (4) integrating drone-based logistics with multimodal transportationfor efficient traffic management. These directions provide valuable insights on the integration ofdrone-based transportation within existing and future supply chains, suggesting potential pathwaysfor advancing production and logistics systems research.

History

Publication Date

2025-03-01

Journal

International Journal of Production Research

Volume

63

Issue

5

Pagination

25p. (p. 1873-1897)

Publisher

Informa UK Limited, trading as Taylor & Francis Group.

ISSN

0020-7543

Rights Statement

© 2024 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

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