Success probability applied to inventory routing problem with time windows

Francisco Morales; Carlos Franco; Germán Andres Mendez-Giraldo

doi:10.1007/978-3-319-66963-2_46

Success probability applied to inventory routing problem with time windows

Francisco Morales, Carlos Franco, Germán Andres Mendez-Giraldo

Universidad del Rosario

Producción científica: Capítulo en Libro/Reporte › Contribución a la conferencia

1 Cita (Scopus)

Resumen

The objective with the present paper is to find a solution method for the inventory routing problem, in which have been added several characteristics that resemble their behavior to the current companies’ reality. Between them the hard time windows, a dynamic component and a success probability applied to the routes between the nodes. In that case we use the dynamic programming with finite stages in order to optimize the routing of vehicles in each period, taking into account the dynamical changes implicit in the nodes and the other IRP characteristics.

Idioma original	Inglés estadounidense
Título de la publicación alojada	Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings
Editores	Juan Carlos Figueroa-Garcia, Eduyn Ramiro Lopez-Santana, Roberto Ferro-Escobar, Jose Luis Villa-Ramirez
Editorial	Springer
Páginas	522-531
Número de páginas	10
ISBN (versión impresa)	9783319669625
DOI	https://doi.org/10.1007/978-3-319-66963-2_46
Estado	Publicada - 2017
Evento	4th Workshop on Engineering Applications, WEA 2017 - Cartagena, Colombia Duración: sep. 27 2017 → sep. 29 2017

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	742
ISSN (versión impresa)	1865-0929

Conferencia

Conferencia	4th Workshop on Engineering Applications, WEA 2017
País/Territorio	Colombia
Ciudad	Cartagena
Período	9/27/17 → 9/29/17

Áreas temáticas de ASJC Scopus

Ciencia de la Computación General
Matemáticas General

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10.1007/978-3-319-66963-2_46

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Morales, F., Franco, C., & Mendez-Giraldo, G. A. (2017). Success probability applied to inventory routing problem with time windows. En J. C. Figueroa-Garcia, E. R. Lopez-Santana, R. Ferro-Escobar, & J. L. Villa-Ramirez (Eds.), Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings (pp. 522-531). (Communications in Computer and Information Science; Vol. 742). Springer. https://doi.org/10.1007/978-3-319-66963-2_46

Morales, Francisco ; Franco, Carlos ; Mendez-Giraldo, Germán Andres. / Success probability applied to inventory routing problem with time windows. Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings. editor / Juan Carlos Figueroa-Garcia ; Eduyn Ramiro Lopez-Santana ; Roberto Ferro-Escobar ; Jose Luis Villa-Ramirez. Springer, 2017. pp. 522-531 (Communications in Computer and Information Science).

@inproceedings{b19329416c2448d38286339dd463ea5a,

title = "Success probability applied to inventory routing problem with time windows",

abstract = "The objective with the present paper is to find a solution method for the inventory routing problem, in which have been added several characteristics that resemble their behavior to the current companies{\textquoteright} reality. Between them the hard time windows, a dynamic component and a success probability applied to the routes between the nodes. In that case we use the dynamic programming with finite stages in order to optimize the routing of vehicles in each period, taking into account the dynamical changes implicit in the nodes and the other IRP characteristics.",

author = "Francisco Morales and Carlos Franco and Mendez-Giraldo, {Germ{\'a}n Andres}",

note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 4th Workshop on Engineering Applications, WEA 2017 ; Conference date: 27-09-2017 Through 29-09-2017",

year = "2017",

doi = "10.1007/978-3-319-66963-2_46",

language = "English (US)",

isbn = "9783319669625",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "522--531",

editor = "Figueroa-Garcia, {Juan Carlos} and Lopez-Santana, {Eduyn Ramiro} and Roberto Ferro-Escobar and Villa-Ramirez, {Jose Luis}",

booktitle = "Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings",

address = "Germany",

}

Morales, F, Franco, C & Mendez-Giraldo, GA 2017, Success probability applied to inventory routing problem with time windows. En JC Figueroa-Garcia, ER Lopez-Santana, R Ferro-Escobar & JL Villa-Ramirez (eds.), Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings. Communications in Computer and Information Science, vol. 742, Springer, pp. 522-531, 4th Workshop on Engineering Applications, WEA 2017, Cartagena, Colombia, 9/27/17. https://doi.org/10.1007/978-3-319-66963-2_46

Success probability applied to inventory routing problem with time windows. / Morales, Francisco; Franco, Carlos; Mendez-Giraldo, Germán Andres.
Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings. ed. / Juan Carlos Figueroa-Garcia; Eduyn Ramiro Lopez-Santana; Roberto Ferro-Escobar; Jose Luis Villa-Ramirez. Springer, 2017. p. 522-531 (Communications in Computer and Information Science; Vol. 742).

Producción científica: Capítulo en Libro/Reporte › Contribución a la conferencia

TY - GEN

T1 - Success probability applied to inventory routing problem with time windows

AU - Morales, Francisco

AU - Franco, Carlos

AU - Mendez-Giraldo, Germán Andres

PY - 2017

Y1 - 2017

N2 - The objective with the present paper is to find a solution method for the inventory routing problem, in which have been added several characteristics that resemble their behavior to the current companies’ reality. Between them the hard time windows, a dynamic component and a success probability applied to the routes between the nodes. In that case we use the dynamic programming with finite stages in order to optimize the routing of vehicles in each period, taking into account the dynamical changes implicit in the nodes and the other IRP characteristics.

AB - The objective with the present paper is to find a solution method for the inventory routing problem, in which have been added several characteristics that resemble their behavior to the current companies’ reality. Between them the hard time windows, a dynamic component and a success probability applied to the routes between the nodes. In that case we use the dynamic programming with finite stages in order to optimize the routing of vehicles in each period, taking into account the dynamical changes implicit in the nodes and the other IRP characteristics.

UR - http://www.scopus.com/inward/record.url?scp=85030032287&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85030032287&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-66963-2_46

DO - 10.1007/978-3-319-66963-2_46

M3 - Conference contribution

AN - SCOPUS:85030032287

SN - 9783319669625

T3 - Communications in Computer and Information Science

SP - 522

EP - 531

BT - Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings

A2 - Figueroa-Garcia, Juan Carlos

A2 - Lopez-Santana, Eduyn Ramiro

A2 - Ferro-Escobar, Roberto

A2 - Villa-Ramirez, Jose Luis

PB - Springer

T2 - 4th Workshop on Engineering Applications, WEA 2017

Y2 - 27 September 2017 through 29 September 2017

ER -

Morales F, Franco C, Mendez-Giraldo GA. Success probability applied to inventory routing problem with time windows. En Figueroa-Garcia JC, Lopez-Santana ER, Ferro-Escobar R, Villa-Ramirez JL, editores, Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Proceedings. Springer. 2017. p. 522-531. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-66963-2_46

Success probability applied to inventory routing problem with time windows

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