Drone-Truck Fleet Allocation Policies for Courier Deliveries: Evaluating of Distance and Energy Trade-Offs

Miguel Figliozzi; Yuval Hadas

doi:10.1007/978-3-031-78241-1_25

Drone-Truck Fleet Allocation Policies for Courier Deliveries: Evaluating of Distance and Energy Trade-Offs

Miguel Figliozzi
, Yuval Hadas

Department of Management

Portland State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This research analyzes the tradeoffs between distance traveled and energy consumption when electric drones and trucks are employed for courier delivery services. The focus of the research is on assessing the effectiveness of various drone-truck fleet allocation policies. The policies examined include: (a) drone fleet determined by profit maximization, (b) truck-only or drone-only service fleets, (c) different mixes of fleets for drones and trucks, and (d) a distance-based allocation rule. Results indicate that the relatively simple and intuitive distance-based allocation policy is the most effective in terms of distance driven and energy consumption levels.

Original language	English
Title of host publication	Decision Sciences - 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024, Proceedings
Editors	Angel A. Juan, Javier Faulin, David Lopez-Lopez
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	269-280
Number of pages	12
ISBN (Print)	9783031782404
DOIs	https://doi.org/10.1007/978-3-031-78241-1_25
State	Published - 2025
Event	2nd Decision Science Alliance International Summer Conference, DSA ISC 2024 - Valencia, Spain Duration: 6 Jun 2024 → 7 Jun 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14779 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd Decision Science Alliance International Summer Conference, DSA ISC 2024
Country/Territory	Spain
City	Valencia
Period	6/06/24 → 7/06/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Allocation Policies
Courier Service
Distance traveled
Drone
Energy
Fleet Size
Sustainability
Trucks

Access to Document

10.1007/978-3-031-78241-1_25

Cite this

Figliozzi, M., & Hadas, Y. (2025). Drone-Truck Fleet Allocation Policies for Courier Deliveries: Evaluating of Distance and Energy Trade-Offs. In A. A. Juan, J. Faulin, & D. Lopez-Lopez (Eds.), Decision Sciences - 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024, Proceedings (pp. 269-280). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Vol. 14779 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-78241-1_25

Figliozzi, Miguel ; Hadas, Yuval. / Drone-Truck Fleet Allocation Policies for Courier Deliveries : Evaluating of Distance and Energy Trade-Offs. Decision Sciences - 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024, Proceedings. editor / Angel A. Juan ; Javier Faulin ; David Lopez-Lopez. Springer Science and Business Media Deutschland GmbH, 2025. pp. 269-280 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ).

@inproceedings{10abd5bdc1ac4a9396a2eda5ac0f95d4,

title = "Drone-Truck Fleet Allocation Policies for Courier Deliveries: Evaluating of Distance and Energy Trade-Offs",

abstract = "This research analyzes the tradeoffs between distance traveled and energy consumption when electric drones and trucks are employed for courier delivery services. The focus of the research is on assessing the effectiveness of various drone-truck fleet allocation policies. The policies examined include: (a) drone fleet determined by profit maximization, (b) truck-only or drone-only service fleets, (c) different mixes of fleets for drones and trucks, and (d) a distance-based allocation rule. Results indicate that the relatively simple and intuitive distance-based allocation policy is the most effective in terms of distance driven and energy consumption levels.",

keywords = "Allocation Policies, Courier Service, Distance traveled, Drone, Energy, Fleet Size, Sustainability, Trucks",

author = "Miguel Figliozzi and Yuval Hadas",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024 ; Conference date: 06-06-2024 Through 07-06-2024",

year = "2025",

doi = "10.1007/978-3-031-78241-1\_25",

language = "אנגלית",

isbn = "9783031782404",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "269--280",

editor = "Juan, \{Angel A.\} and Javier Faulin and David Lopez-Lopez",

booktitle = "Decision Sciences - 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024, Proceedings",

address = "גרמניה",

}

Figliozzi, M & Hadas, Y 2025, Drone-Truck Fleet Allocation Policies for Courier Deliveries: Evaluating of Distance and Energy Trade-Offs. in AA Juan, J Faulin & D Lopez-Lopez (eds), Decision Sciences - 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 14779 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 269-280, 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024, Valencia, Spain, 6/06/24. https://doi.org/10.1007/978-3-031-78241-1_25

Drone-Truck Fleet Allocation Policies for Courier Deliveries: Evaluating of Distance and Energy Trade-Offs. / Figliozzi, Miguel; Hadas, Yuval.
Decision Sciences - 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024, Proceedings. ed. / Angel A. Juan; Javier Faulin; David Lopez-Lopez. Springer Science and Business Media Deutschland GmbH, 2025. p. 269-280 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Vol. 14779 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Drone-Truck Fleet Allocation Policies for Courier Deliveries

T2 - 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024

AU - Figliozzi, Miguel

AU - Hadas, Yuval

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

PY - 2025

Y1 - 2025

N2 - This research analyzes the tradeoffs between distance traveled and energy consumption when electric drones and trucks are employed for courier delivery services. The focus of the research is on assessing the effectiveness of various drone-truck fleet allocation policies. The policies examined include: (a) drone fleet determined by profit maximization, (b) truck-only or drone-only service fleets, (c) different mixes of fleets for drones and trucks, and (d) a distance-based allocation rule. Results indicate that the relatively simple and intuitive distance-based allocation policy is the most effective in terms of distance driven and energy consumption levels.

AB - This research analyzes the tradeoffs between distance traveled and energy consumption when electric drones and trucks are employed for courier delivery services. The focus of the research is on assessing the effectiveness of various drone-truck fleet allocation policies. The policies examined include: (a) drone fleet determined by profit maximization, (b) truck-only or drone-only service fleets, (c) different mixes of fleets for drones and trucks, and (d) a distance-based allocation rule. Results indicate that the relatively simple and intuitive distance-based allocation policy is the most effective in terms of distance driven and energy consumption levels.

KW - Allocation Policies

KW - Courier Service

KW - Distance traveled

KW - Drone

KW - Energy

KW - Fleet Size

KW - Sustainability

KW - Trucks

UR - https://www.scopus.com/pages/publications/85219169651

U2 - 10.1007/978-3-031-78241-1_25

DO - 10.1007/978-3-031-78241-1_25

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85219169651

SN - 9783031782404

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 269

EP - 280

BT - Decision Sciences - 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024, Proceedings

A2 - Juan, Angel A.

A2 - Faulin, Javier

A2 - Lopez-Lopez, David

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 6 June 2024 through 7 June 2024

ER -

Figliozzi M, Hadas Y. Drone-Truck Fleet Allocation Policies for Courier Deliveries: Evaluating of Distance and Energy Trade-Offs. In Juan AA, Faulin J, Lopez-Lopez D, editors, Decision Sciences - 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2025. p. 269-280. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ). doi: 10.1007/978-3-031-78241-1_25

Drone-Truck Fleet Allocation Policies for Courier Deliveries: Evaluating of Distance and Energy Trade-Offs

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this