Reliability in urban freight distribution: a markovian approach

A key element in assessing reliability in urban freight distribution (UFD) is the probability density function (PDF) of the variables that characterize the performance of the distribution routes. This article presents a method for modeling the PDF with an approach based on the Markov models, under t...

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Autores:
Cedillo-Campos, Miguel Gastón
Riva-Canizales, José Luis de la
Bueno-Solano, Alfredo
Gonzalez-Feliu, Jesús
García-Alcaraz, Jorge Luis
Tipo de recurso:
Article of journal
Fecha de publicación:
2014
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/50625
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/50625
http://bdigital.unal.edu.co/44623/
Palabra clave:
Reliability
Markov models
urban freight distribution
logistics
supply chain
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:A key element in assessing reliability in urban freight distribution (UFD) is the probability density function (PDF) of the variables that characterize the performance of the distribution routes. This article presents a method for modeling the PDF with an approach based on the Markov models, under the assumption that the present status of reliability of a route depends only on its immediate previous state. Currently, the PDF is obtained directly from the field, therefore an analytical model that provides certainty to the analysis is essential. The results are applicable both to the design of routes and operation of the same process. The originality of this work is based on the development of a methodological procedure to assess the reliability of the components of a path, complementary to current methodologies to calculate network reliability.