Optimization of the Distribution Network Using an Emerging Technology

Ulin Hernández, Emanuel Jesús y Saucedo Martínez, Jania Astrid y Marmolejo Saucedo, José Antonio (2020) Optimization of the Distribution Network Using an Emerging Technology. Applied sciences, 10 (3). pp. 1-14. ISSN 2076-3417

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Resumen

Unmanned Aerial Vehicles (UAVs) are a technology that has recently been incorporated in the distribution of products, which in this study, are packages. It can improve the distribution system in environments where there is significant traffic congestion. Furthermore, UAV can help to deliver small packages between warehouses, by using them as an alternative means of distribution. The incursion is of an emerging technology, in this case the use of drones, for a new delivery system in order to improve a university distribution system, in the view of the fact that in recent years, companies have focused on the use of logistics operations for the improvement of productivity and delivery times. The study presents a mathematical model, based on the Problem of the Traveling Salesman (TSP) for the planning of a route to increase the efficiency in the distribution process at Ciudad Universitaria, an Universidad Autónoma de Nuevo León (UANL) campus that contemplates the use of the emerging technology of UAVs, and the traditional method of using trucks. The model considers restrictions on the use of drones, such as the limitation of travel times and maximum distance.

Tipo de elemento:	Article
Palabras claves no controlados:	tsp, entrega de uavs, optimización, logística
Materias:	H Ciencias sociales > HD Industrias, Economía Laboral y Agraria
Divisiones:	Ingeniería Mecánica y Eléctrica
Usuario depositante:	Editor Repositorio
Creadores:	Creador Email ORCID Ulin Hernández, Emanuel Jesús NO ESPECIFICADO NO ESPECIFICADO Saucedo Martínez, Jania Astrid NO ESPECIFICADO orcid.org/0000-0002-4130-9552 Marmolejo Saucedo, José Antonio NO ESPECIFICADO NO ESPECIFICADO
Fecha del depósito:	13 Jul 2022 20:20
Última modificación:	19 Nov 2022 22:59
URI:	http://eprints.uanl.mx/id/eprint/23568

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