Supplier Cooperation in Drone Delivery
Suttinee Sawadsitang, Dusit Niyato, Tan Puay Siew, Ping Wang

TL;DR
This paper introduces the CoDD framework for cooperative drone delivery planning among multiple suppliers, aiming to optimize costs, fairness, and stability in drone and carrier outsourcing scenarios, validated through benchmark and real data.
Contribution
It proposes a novel cooperative framework for multi-supplier drone delivery planning, addressing cost sharing, fairness, and stability, which has not been extensively studied before.
Findings
CoDD effectively reduces delivery costs and improves fairness among suppliers.
The framework demonstrates stable cooperation and cost efficiency in benchmark and real-world datasets.
Trade-offs between drone usage and outsourcing are quantitatively analyzed.
Abstract
Recently, unmanned aerial vehicles (UAVs), also known as drones, has emerged as an efficient and cost-effective solution for package delivery. Especially, drones are expected to incur lower cost, and achieve fast and environment friendly delivery. While most of existing drone research concentrates on surveillance applications, few works studied the drone package delivery planning problem. Even so, the previous works only focus on the drone delivery planning of a single supplier. In this paper, thus we propose the supplier cooperation in drone delivery (CoDD) framework. The framework considers jointly package assignment, supplier cooperation, and cost management. The objective of the framework is to help suppliers minimize and achieve fair share of the cost as well as reach a stable cooperation. The trade-off between using drones and outsourcing package delivery to a carrier is also…
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Taxonomy
TopicsVehicle Routing Optimization Methods · UAV Applications and Optimization · Facility Location and Emergency Management
