Applications and Research avenues for drone-based models in logistics: A classification and review

•We propose a systematic classification scheme of drone-based models for logistics.•We present a comprehensive review of drone applications in logistics practice.•We provide a comprehensive review and synthesis of the extant research on drone logistics.•We identify and prioritize existing research g...

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Published inExpert systems with applications Vol. 177; p. 114854
Main Authors Moshref-Javadi, Mohammad, Winkenbach, Matthias
Format Journal Article
LanguageEnglish
Published New York Elsevier Ltd 01.09.2021
Elsevier BV
Subjects
Classification
Drone logistics
Drone vehicles
Last-mile delivery
Literature reviews
Logistics
Routing optimization
Unmanned aerial vehicle
Last-mile delivery
Routing optimization
Unmanned aerial vehicle
Drone logistics
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Abstract •We propose a systematic classification scheme of drone-based models for logistics.•We present a comprehensive review of drone applications in logistics practice.•We provide a comprehensive review and synthesis of the extant research on drone logistics.•We identify and prioritize existing research gaps.•We provide guidelines for future research. The operational design and planning of drone-based logistics models is a rapidly growing area of scientific research. In this paper, we present a structured, comprehensive, and scalable framework for classifying drone-based delivery systems and their associated routing problems along with a comprehensive review and synthesis of the extant academic literature in this domain. While our proposed classification defines the boundaries and facilitates the comparison between a wide variety of possible drone-based logistics systems, our comprehensive literature review helps to identify and prioritize research gaps that need to be addressed by future work. Our review shows that the extant research reasonably considers some relevant real-world operational constraints. Although the multi-visit multi-drone Pure-play Drone-based (PD) delivery models are popular, the majority of the Synchronized Multi-modal (SM) delivery models focus on formulating and evaluating single-truck, single-drone models. Moreover, the Resupply Multi-modal (RM) models have not received the due attention for research compared to other drone-based delivery models. Our comprehensive review of use cases of drones for delivery indicates that most of the reviewed models are designed for applications in e-commerce and healthcare/emergency services. Other applications, such as food and mail deliveries are still underrepresented in the academic discussion.
AbstractList The operational design and planning of drone-based logistics models is a rapidly growing area of scientific research. In this paper, we present a structured, comprehensive, and scalable framework for classifying drone-based delivery systems and their associated routing problems along with a comprehensive review and synthesis of the extant academic literature in this domain. While our proposed classification defines the boundaries and facilitates the comparison between a wide variety of possible drone-based logistics systems, our comprehensive literature review helps to identify and prioritize research gaps that need to be addressed by future work. Our review shows that the extant research reasonably considers some relevant real-world operational constraints. Although the multi-visit multi-drone Pure-play Drone-based (PD) delivery models are popular, the majority of the Synchronized Multi-modal (SM) delivery models focus on formulating and evaluating single-truck, single-drone models. Moreover, the Resupply Multi-modal (RM) models have not received the due attention for research compared to other drone-based delivery models. Our comprehensive review of use cases of drones for delivery indicates that most of the reviewed models are designed for applications in e-commerce and healthcare/emergency services. Other applications, such as food and mail deliveries are still underrepresented in the academic discussion.
•We propose a systematic classification scheme of drone-based models for logistics.•We present a comprehensive review of drone applications in logistics practice.•We provide a comprehensive review and synthesis of the extant research on drone logistics.•We identify and prioritize existing research gaps.•We provide guidelines for future research. The operational design and planning of drone-based logistics models is a rapidly growing area of scientific research. In this paper, we present a structured, comprehensive, and scalable framework for classifying drone-based delivery systems and their associated routing problems along with a comprehensive review and synthesis of the extant academic literature in this domain. While our proposed classification defines the boundaries and facilitates the comparison between a wide variety of possible drone-based logistics systems, our comprehensive literature review helps to identify and prioritize research gaps that need to be addressed by future work. Our review shows that the extant research reasonably considers some relevant real-world operational constraints. Although the multi-visit multi-drone Pure-play Drone-based (PD) delivery models are popular, the majority of the Synchronized Multi-modal (SM) delivery models focus on formulating and evaluating single-truck, single-drone models. Moreover, the Resupply Multi-modal (RM) models have not received the due attention for research compared to other drone-based delivery models. Our comprehensive review of use cases of drones for delivery indicates that most of the reviewed models are designed for applications in e-commerce and healthcare/emergency services. Other applications, such as food and mail deliveries are still underrepresented in the academic discussion.
ArticleNumber 114854
Author Winkenbach, Matthias
Moshref-Javadi, Mohammad
Author_xml – sequence: 1
  givenname: Mohammad
  surname: Moshref-Javadi
  fullname: Moshref-Javadi, Mohammad
  email: m.moshref@northeastern.edu, moshref@mit.edu
  organization: Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA
– sequence: 2
  givenname: Matthias
  surname: Winkenbach
  fullname: Winkenbach, Matthias
  email: mwinkenb@mit.edu
  organization: Center for Transportation and Logistics, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139, USA
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Keywords Last-mile delivery
Routing optimization
Unmanned aerial vehicle
Drone logistics
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Snippet •We propose a systematic classification scheme of drone-based models for logistics.•We present a comprehensive review of drone applications in logistics...
The operational design and planning of drone-based logistics models is a rapidly growing area of scientific research. In this paper, we present a structured,...
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StartPage 114854
SubjectTerms Classification
Drone logistics
Drone vehicles
Last-mile delivery
Literature reviews
Logistics
Routing optimization
Unmanned aerial vehicle
Title Applications and Research avenues for drone-based models in logistics: A classification and review
URI https://dx.doi.org/10.1016/j.eswa.2021.114854
https://www.proquest.com/docview/2540549846
Volume 177
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