A Conceptual model for intelligent cooperative drones and trucks in logistics operations

Authors

DOI:

https://doi.org/10.55972/spectrum.v24i1.390

Keywords:

Routing, Drones, Metaheuristic

Abstract

Drones, also known as Unmanned Aerial Vehicles (UAV), have been considered the future of air transport for applications in logistics operations. They can be used with trucks in an operation that leverages the advantages of each other, a problem known as Vehicle Routing Problem with Drones (VRP-D) from an operational research perspective. Recently, solution methods have been proposed for VRP-D, but there is a valuable opportunity to develop a structured methodology in this field. This paper proposes a conceptual model from an analytical comparison of state-of-art metaheuristics. The proposed conceptual model considers the exact method for small instances, since it guarantees optimal solutions, and considers the use of heuristic methods in larger instances, balancing the quality of the solution and the computational time. This proposal can be used to decide the best approach according to the size of the real problem and can be enhanced by recent developments in hybridization and artificial intelligence.

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Published

2023-09-22

How to Cite

[1]
B. Avelino, M. Caetano, and E. José da Silva, “A Conceptual model for intelligent cooperative drones and trucks in logistics operations”, Spectrum, vol. 24, no. 1, pp. 24–28, Sep. 2023.