The hybrid vehicle-drone routing problem for pick-up and delivery services

•A modeling framework for the hybrid vehicle-drone routing problem for logistic services.•A mixed-integer program that minimizes the vehicle and drone routing cost.•Advanced features for the hybrid vehicle-drone routing system.•Capturing the vehicle-drone routing interactions for dispatching and col...

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Vydané v:	Transportation research. Part C, Emerging technologies Ročník 102; s. 427 - 449
Hlavní autori:	Karak, Aline, Abdelghany, Khaled
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.05.2019
Predmet:	Clarke and Wright algorithm Drone routing Mixed integer programming Multimodal networks Pick-up and delivery services Vehicle routing Drone routing Mixed integer programming Multimodal networks Clarke and Wright algorithm Vehicle routing Pick-up and delivery services
ISSN:	0968-090X, 1879-2359
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Abstract	•A modeling framework for the hybrid vehicle-drone routing problem for logistic services.•A mixed-integer program that minimizes the vehicle and drone routing cost.•Advanced features for the hybrid vehicle-drone routing system.•Capturing the vehicle-drone routing interactions for dispatching and collection.•Accounting for the drones’ flight range and load carrying capacity limitations.•Extending the Clarke and Wright algorithm for multimodality.•Benchmarked against a vehicle-driven and drone-driven routing heuristics. This paper presents a mathematical formulation and efficient solution methodology for the hybrid vehicle-drone routing problem (HVDRP) for pick-up and delivery services. The problem is formulated as a mixed-integer program, which minimizes the vehicle and drone routing cost to serve all customers. The formulation captures the vehicle-drone routing interactions during the drone dispatching and collection processes and accounts for drone operation constraints related to flight range and load carrying capacity limitations. A novel solution methodology is developed which extends the classic Clarke and Wright algorithm to solve the HVDRP. The performance of the developed heuristic is benchmarked against two other heuristics, namely, the vehicle-driven routing heuristic and the drone-driven routing heuristic. A set of experiments are conducted to evaluate the performance of the developed heuristics and to illustrate the capability of the developed model in answering a wide variety of questions related to the planning of the vehicle-drone delivery system.
AbstractList	•A modeling framework for the hybrid vehicle-drone routing problem for logistic services.•A mixed-integer program that minimizes the vehicle and drone routing cost.•Advanced features for the hybrid vehicle-drone routing system.•Capturing the vehicle-drone routing interactions for dispatching and collection.•Accounting for the drones’ flight range and load carrying capacity limitations.•Extending the Clarke and Wright algorithm for multimodality.•Benchmarked against a vehicle-driven and drone-driven routing heuristics. This paper presents a mathematical formulation and efficient solution methodology for the hybrid vehicle-drone routing problem (HVDRP) for pick-up and delivery services. The problem is formulated as a mixed-integer program, which minimizes the vehicle and drone routing cost to serve all customers. The formulation captures the vehicle-drone routing interactions during the drone dispatching and collection processes and accounts for drone operation constraints related to flight range and load carrying capacity limitations. A novel solution methodology is developed which extends the classic Clarke and Wright algorithm to solve the HVDRP. The performance of the developed heuristic is benchmarked against two other heuristics, namely, the vehicle-driven routing heuristic and the drone-driven routing heuristic. A set of experiments are conducted to evaluate the performance of the developed heuristics and to illustrate the capability of the developed model in answering a wide variety of questions related to the planning of the vehicle-drone delivery system.
Author	Karak, Aline Abdelghany, Khaled
Author_xml	– sequence: 1 givenname: Aline surname: Karak fullname: Karak, Aline email: akarak@smu.edu – sequence: 2 givenname: Khaled surname: Abdelghany fullname: Abdelghany, Khaled email: khaled@smu.edu
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Snippet	•A modeling framework for the hybrid vehicle-drone routing problem for logistic services.•A mixed-integer program that minimizes the vehicle and drone routing...
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SubjectTerms	Clarke and Wright algorithm Drone routing Mixed integer programming Multimodal networks Pick-up and delivery services Vehicle routing
Title	The hybrid vehicle-drone routing problem for pick-up and delivery services
URI	https://dx.doi.org/10.1016/j.trc.2019.03.021
Volume	102
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