Drones in last-mile delivery: a systematic literature review from a logistics management perspective

被引:18
作者
Jazairy, Amer [1 ]
Persson, Emil [2 ]
Brho, Mazen [1 ]
von Haartman, Robin [2 ]
Hilletofth, Per [2 ]
机构
[1] Texas A&M Univ, Dept Maritime Business Adm, Galveston, TX 77554 USA
[2] Univ Gavle, Dept Ind Management Ind Design & Mech Engn, Gavle, Sweden
关键词
Unmanned aerial vehicle; Freight; Distribution; Parcel delivery; E-commerce; TRAVELING SALESMAN PROBLEM; FACILITY LOCATION PROBLEM; E-COMMERCE; ROUTING PROBLEM; TRANSPORTATION; OPTIMIZATION; PACKAGE; UAVS; TECHNOLOGIES; NETWORK;
D O I
10.1108/IJLM-04-2023-0149
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose-This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field. Design/methodology/approach-Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015-2022 to integrate this emergent phenomenon into the field. Findings-The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified. Research limitations/implications-This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved. Practical implications-The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries. Originality/value-This is one of the first SLRs on drone applications in LMD from a logistics management perspective.
引用
收藏
页码:1 / 62
页数:62
相关论文
共 214 条
[31]   Collaborative traveling salesman problem with ground vehicle as a charger for unmanned aerial vehicle [J].
Cha, Hyungjoo ;
Kim, DongKyun ;
Eun, Joonyup ;
Cheong, Taesu .
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2023, 15 (07) :707-721
[32]   Deep Q-learning for same-day delivery with vehicles and drones [J].
Chen, Xinwei ;
Ulmer, Marlin W. ;
Thomas, Barrett W. .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2022, 298 (03) :939-952
[33]   Drone routing with energy function: Formulation and exact algorithm [J].
Cheng, Chun ;
Adulyasak, Yossiri ;
Rousseau, Louis-Martin .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2020, 139 :364-387
[34]   3D Aerial Highway: The Key Enabler of the Retail Industry Transformation [J].
Cherif, Nesrine ;
Jaafar, Wael ;
Yanikomeroglu, Halim ;
Yongacoglu, Abbas .
IEEE COMMUNICATIONS MAGAZINE, 2021, 59 (09) :65-71
[35]   Particulate Matter (PM10 and PM2.5) and Greenhouse Gas Emissions of UAV Delivery Systems on Metropolitan Subway Tracks [J].
Choi, Bulim ;
Yeon, Jeonghum ;
Min, Jung Ung ;
Lee, Kangdae .
SUSTAINABILITY, 2022, 14 (14)
[36]   A comparison of optimized deliveries by drone and truck [J].
Choi, Youngmin ;
Schonfeld, Paul M. .
TRANSPORTATION PLANNING AND TECHNOLOGY, 2021, 44 (03) :319-336
[37]   Drones for disaster response and relief operations: A continuous approximation model [J].
Chowdhury, Sudipta ;
Emelogu, Adindu ;
Marufuzzaman, Mohammad ;
Nurre, Sarah G. ;
Bian, Linkan .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2017, 188 :167-184
[38]   Optimization of battery swapping infrastructure for e-commerce drone delivery [J].
Cokyasar, Taner .
COMPUTER COMMUNICATIONS, 2021, 168 :146-154
[39]   A Socio-Analytical Approach to the Integration of Drones into Health Care Systems [J].
Comtet, Hans E. ;
Johannessen, Karl-Arne .
INFORMATION, 2022, 13 (02)
[40]   A data-driven learning method for online prediction of drone battery discharge [J].
Conte, C. ;
Rufino, G. ;
de Alteriis, G. ;
Bottino, V. ;
Accardo, D. .
AEROSPACE SCIENCE AND TECHNOLOGY, 2022, 130