Por favor, use este identificador para citar o enlazar este ítem: http://repositorio.usfq.edu.ec/handle/23000/5868
Título : Last-mile delivery optimization using GPS data a case study
Autor : Camacho, Cristina (dir)
García Dueñas, Juan Bernardo
Descriptores / Subjects : Sistema de Posicionamiento Global
Transporte
Análisis de Ruta Crítica
Medio Ambiente
Fecha de Publicación : may-2016
Ciudad: Editorial : Quito: USFQ, 2016
Cita Sugerida : Tesis (Ingeniero Industrial), Universidad San Francisco de Quito, Colegio de Ciencias e Ingenierías; Quito, Ecuador, 2016
Descripción : The development of GPS data analysis and processing is contributing to new solutions in urban logistics, such as route characterization or client detection. The city of Quito, Ecuador, has problems regarding freight transportation. The reduction in magnitude of these problems, through the implementation of a responsible enterprise logistics system, can contribute to a better urban and economic development of this Latin-American capital city. This study proposes and analyses a solution in GPS data manipulation methodologies applied to urban freight distribution. The reliability of traditional routing software methods and truck drivers’ empiric knowledge are evaluated by comparing it to mathematical optimization algorithms which consider the city’s transportation network, modeled after the Asymmetric Traveling Salesperson Problem (ATSP). Tools used include Python for manipulating data and optimizing, CartoDB for Graphical Information Systems (GIS), and Compass (a logistics application developed by MIT) for generation of route indicators. The results of this study represent a better understanding of solutions to last-mile delivery operations in Quito, and suggest mathematical optimization is a reliable way to develop freight transportation routes.
URI : http://repositorio.usfq.edu.ec/handle/23000/5868
Aparece en las colecciones: Tesis - Ingeniería Industrial

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