Truck-drone hybrid delivery routing: Payload-energy dependency and No-Fly zones
By H. Jeong, B. Song, Seokcheon Lee. International Journal of Production Economics, 2019
306 citations recorded by the source corpus.
Abstract The truck-drone hybrid delivery system uses a truck as a station for drones in addition to its delivery function and is getting attention because the strengths of these individual vehicles can be selectively and synergistically exploited. In this study, we extended the previous vehicle routing models to the hybrid delivery systems by taking into account two important practical issues: the effect of parcel weight on drone energy consumption and restricted flying areas. The flight range of the drones is heavily susceptible to the loaded weight due to the limited battery life. Drones are also not allowed to fly over sensitive facilities regulated by the Federal Aviation Administration (FAA) or temporarily in certain areas due to weather-related conditions. We developed a mathematical model that incorporates these issues and propose a two-phase constructive and search heuristic algorithm to provide computational efficiency of the real-world cases problems. The result of the numerical study demonstrates the effectiveness and efficiency of the proposed algorithm.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/db622112da235fae6f7a14195306e12bea37bae3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
In Computer Vision and Pattern Recognition
In Industrial and Manufacturing Engineering
Citations in the corpus
- The multiple flying sidekicks traveling salesman problem: Parcel delivery with multiple drones (2020, methodology): “Jeong et al. (2019) modified the FSTSP to consider variable UAV energy consumption and restricted flying areas.”