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2020
DOI: 10.1016/j.trc.2020.01.019
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Joint optimization of customer location clustering and drone-based routing for last-mile deliveries

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Cited by 142 publications
(64 citation statements)
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References 32 publications
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“…Staffing and fleet sizing As explained above, it is not surprising that the literature on this topic is limited. Specifically, we are only aware of the paper of Salama and Srinivas (2020), who consider the number of drones each truck is equipped with as an additional decision variable. Nonetheless, their focus is also on the routing problem, which is discussed in the following.…”
Section: Dronesmentioning
confidence: 99%
“…Staffing and fleet sizing As explained above, it is not surprising that the literature on this topic is limited. Specifically, we are only aware of the paper of Salama and Srinivas (2020), who consider the number of drones each truck is equipped with as an additional decision variable. Nonetheless, their focus is also on the routing problem, which is discussed in the following.…”
Section: Dronesmentioning
confidence: 99%
“…Another approach to facilitate more time efficient parcel delivery is to pair drones with traditional delivery trucks where a truck loaded with one or several drones travels close to the demand locations, which are ultimately served by a drone. This type of joint routing has been proven to not only yield higher flexibility of delivery systems but to remarkably decrease delivery times and associated costs (see for instance Carlsson and Song, 2018 ; Chang and Lee, 2018 ; Hong et al, 2018 ; Karak and Abdelghany, 2019 ; Gonzalez et al, 2020 ; Salama and Srinivas, 2020 ; Moshref-Javadi et al, 2020 ; Ulin Hernández et al, 2020 ; Murray and Raj, 2020 ). Aside from commercial applications, such quantitative approaches can also be found in the humanitarian and disaster-related context.…”
Section: Related Literaturementioning
confidence: 99%
“…Furthermore, Paddeu et al [22] provides the additional insight of considering a range of stakeholders, and Allen et al [23] proposed a freight traffic controller in order to organize the collaboration in parcel deliveries. Finally, Salama and Srinivas [24] and Jackson and Srinivas [25] consider drone deliveries in scenarios of urban last-mile distribution from a strategic point of view. In the former, The authors propose mixed integer linear programming models for last-mile delivery using multiple drones and a single truck.…”
Section: Economic Criterionmentioning
confidence: 99%