1. Repositorio Digital USFQ
  2. TESIS COLEGIO DE PREGRADO
  3. COLEGIO DE CIENCIAS E INGENIERÍAS (POLI)
  4. Tesis - Ingeniería Industrial
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dc.contributor.advisorCamacho, Cristina (dir)-
dc.contributor.authorGarcía Dueñas, Juan Bernardo-
dc.date.accessioned2016-11-16T21:23:12Z-
dc.date.available2016-11-16T21:23:12Z-
dc.date.issued2016-05-
dc.identifier.citationTesis (Ingeniero Industrial), Universidad San Francisco de Quito, Colegio de Ciencias e Ingenierías; Quito, Ecuador, 2016es_ES
dc.identifier.urihttp://repositorio.usfq.edu.ec/handle/23000/5868-
dc.descriptionThe 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.es_ES
dc.format.extent18 h. : il.es_ES
dc.language.isoenes_ES
dc.publisherQuito: USFQ, 2016es_ES
dc.rightsopenAccesses_ES
dc.subjectSistema de posicionamiento globales_ES
dc.subjectTransportees_ES
dc.subjectAnálisis de ruta críticaes_ES
dc.subjectMedio ambientees_ES
dc.subject.otherGeografíaes_ES
dc.subject.otherSistemas de información geográficaes_ES
dc.titleLast-mile delivery optimization using GPS data a case studyes_ES
dc.typebachelorThesises_ES
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