Supplier Cooperation in Drone Delivery

Sawadsitang, Suttinee; Niyato, Dusit; Siew, Tan Puay; Wang, Ping

doi:10.48550/arxiv.1805.06803

Cited by 2 publications

(5 citation statements)

References 6 publications

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“…Moreover, a scheduling model was formulated to determine the time at which a battery begins/stops charging or begins/stops discharging. Sawadsitang et al [30] developed a suppliers' cooperation policy to share the total cost of a drone delivery service. This means that suppliers can serve their customers collaboratively and share their drones in order to serve as many customers as possible; when a drone drops a package at the desired destination, it can return to any supplier depot that is part of the cooperation system.…”

Section: Literature Investigation On Current Research For Drone-based...mentioning

confidence: 99%

A Literature Review of Drone-Based Package Delivery Logistics Systems and Their Implementation Feasibility

2021

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In recent years, e-commerce businesses have seen an increase in the daily volume of packages to be delivered, as well as an increase in the number of particularly demanding customer expectations. In this respect, the delivery mechanism became prohibitively expensive, particularly for the final kilometer. To stay competitive and meet the increased demand, businesses began to look for innovative autonomous delivery options for the last mile, such as autonomous unmanned aerial vehicles/drones, which are a promising alternative for the logistics industry. Following the success of drones in surveillance and remote sensing, drone delivery systems have begun to emerge as a new solution to reduce delivery costs and delivery time. In the coming years, autonomous drone sharing systems will be an unavoidable logistical solution, especially with the new laws/recommendations introduced by the Flight World Organization on how to organize the operations of these special unmanned airline systems. This paper provides a comprehensive literature survey on a set of relevant research issues and highlights the representative solutions and concepts that have been proposed thus far in the design and modeling of the logistics of drone delivery systems, with the purpose of discussing the respective performance levels reached by the various suggested approaches. Furthermore, the paper also investigates the central problems to be addressed and briefly discusses and outlines a series of interesting new research avenues of relevance for drone-based package delivery systems.

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Section: Literature Investigation On Current Research For Drone-based...mentioning

confidence: 99%

A Literature Review of Drone-Based Package Delivery Logistics Systems and Their Implementation Feasibility

2021

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“…They solve the problem with an approximate dynamic programming known as parametric policy function approximation. Sawadsitang et al [6] propose the joint ground and aerial package delivery service, that can be considered as a PDSTSP with uncertainty and multiple trucks that they represent as a three stage stochastic model. They solve the model with an L-shaped method.…”

Section: Related Literaturementioning

confidence: 99%

“…In order to guarantee the timing constraints, we impose constraints (6) to ensure that, if arc (i, j) is traveled by the truck, then the time in j is at least the time in i plus the time needed for traveling the arc. In (7) we assure that if there is a sortie i, k, j then the time t j should be at least t i plus the time for performing the sortie.…”

Section: Timing Constraintsmentioning

confidence: 99%

“…If the drone arrives after the truck at the rendezvous point, then the truck must wait at least the difference between the arrival time of the drone and the arrival time of the truck in that node, that is imposed by constraint (8). Note that if the drone arrives before the truck, it waits while flying, this waiting time is absorbed by time t j of constraint (6), which is included in the truck route in the objective function.…”

Section: Timing Constraintsmentioning

confidence: 99%

“…It is worth observing that instance '43v5' with E = 40 appears to be an outlier, requiring higher solving times. An optimal solution is depicted in Figure 1, where the truck route is the sequence (0, 10,9,8,1,5,6,7,4,11), while the two sorties are 0, 2, 1 and 1, 3, 11 . This instance is hard to solve due to the large number of possible feasible sorties and to the closeness of customers among them and to the depot.…”

Section: Instancementioning

confidence: 99%

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Models and algorithms for the Flying Sidekick Traveling Salesman Problem

Dell’Amico¹,

Montemanni²,

Novellani³

2019

Preprint

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This paper presents a set of new formulations for the Flying Sidekick Traveling Salesman Problem, where a truck and a drone cooperate to deliver parcels to customers minimizing the completion time. The new formulations improve the results of the literature by solving to optimality several benchmark instances for which an optimal solution was previously unknown. A matheuristic algorithm, strongly based on the new models, is also discussed. Experimental results show that this method is able to provide good quality solutions in short time even for the larger instances, on which the mathematical models struggle to provide either good heuristic solution or strong lower bounds.

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Supplier Cooperation in Drone Delivery

Cited by 2 publications

References 6 publications

A Literature Review of Drone-Based Package Delivery Logistics Systems and Their Implementation Feasibility

A Literature Review of Drone-Based Package Delivery Logistics Systems and Their Implementation Feasibility

Models and algorithms for the Flying Sidekick Traveling Salesman Problem

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