A column generation approach for solving a green bi-objective inventory routing problem

Carlos Franco; Eduyn Ramiro López-Santana; Germán Méndez-Giraldo

doi:10.1007/978-3-319-47955-2_9

A column generation approach for solving a green bi-objective inventory routing problem

Carlos Franco, Eduyn Ramiro López-Santana, Germán Méndez-Giraldo

School of Business Administration

Research output: Chapter in Book/Report › Conference contribution

9 Scopus citations

Abstract

The aim of this paper is present a multi-objective algorithm embedded with column generation to solve a green bi-objective inventory routing problem. In contrast with the classic Inventory Routing Problem where the main objective is to minimize the total cost overall supply chain network, in the green logistics besides this objective a minimization of the CO₂emisions is included. For solving the bi-objective problem, we proposed the use of NISE (Noninferior Set Estimation) algorithm combined with column generation for reduce the amount of variables in the problem.

Original language	English (US)
Title of host publication	Advances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI 2016, Proceedings
Editors	Hugo Jair Escalante, Manuel Montes-y-Gomez, Alberto Segura, Juan de Dios Murillo
Publisher	Springer
Pages	101-112
Number of pages	12
ISBN (Print)	9783319479545
DOIs	https://doi.org/10.1007/978-3-319-47955-2_9
State	Published - 2016
Event	15th Ibero-American Conference on Advances in Artificial Intelligence, IBERAMIA 2016 - San Jose, Costa Rica Duration: Nov 23 2016 → Nov 25 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10022 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th Ibero-American Conference on Advances in Artificial Intelligence, IBERAMIA 2016
Country/Territory	Costa Rica
City	San Jose
Period	11/23/16 → 11/25/16

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-47955-2_9

Cite this

Franco, C., López-Santana, E. R., & Méndez-Giraldo, G. (2016). A column generation approach for solving a green bi-objective inventory routing problem. In H. J. Escalante, M. Montes-y-Gomez, A. Segura, & J. de Dios Murillo (Eds.), Advances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI 2016, Proceedings (pp. 101-112). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10022 LNAI). Springer. https://doi.org/10.1007/978-3-319-47955-2_9

Franco, Carlos ; López-Santana, Eduyn Ramiro ; Méndez-Giraldo, Germán. / A column generation approach for solving a green bi-objective inventory routing problem. Advances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI 2016, Proceedings. editor / Hugo Jair Escalante ; Manuel Montes-y-Gomez ; Alberto Segura ; Juan de Dios Murillo. Springer, 2016. pp. 101-112 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Franco, C, López-Santana, ER & Méndez-Giraldo, G 2016, A column generation approach for solving a green bi-objective inventory routing problem. in HJ Escalante, M Montes-y-Gomez, A Segura & J de Dios Murillo (eds), Advances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10022 LNAI, Springer, pp. 101-112, 15th Ibero-American Conference on Advances in Artificial Intelligence, IBERAMIA 2016, San Jose, Costa Rica, 11/23/16. https://doi.org/10.1007/978-3-319-47955-2_9

A column generation approach for solving a green bi-objective inventory routing problem. / Franco, Carlos; López-Santana, Eduyn Ramiro; Méndez-Giraldo, Germán.
Advances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI 2016, Proceedings. ed. / Hugo Jair Escalante; Manuel Montes-y-Gomez; Alberto Segura; Juan de Dios Murillo. Springer, 2016. p. 101-112 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10022 LNAI).

Research output: Chapter in Book/Report › Conference contribution

TY - GEN

T1 - A column generation approach for solving a green bi-objective inventory routing problem

AU - Franco, Carlos

AU - López-Santana, Eduyn Ramiro

AU - Méndez-Giraldo, Germán

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - The aim of this paper is present a multi-objective algorithm embedded with column generation to solve a green bi-objective inventory routing problem. In contrast with the classic Inventory Routing Problem where the main objective is to minimize the total cost overall supply chain network, in the green logistics besides this objective a minimization of the CO2emisions is included. For solving the bi-objective problem, we proposed the use of NISE (Noninferior Set Estimation) algorithm combined with column generation for reduce the amount of variables in the problem.

AB - The aim of this paper is present a multi-objective algorithm embedded with column generation to solve a green bi-objective inventory routing problem. In contrast with the classic Inventory Routing Problem where the main objective is to minimize the total cost overall supply chain network, in the green logistics besides this objective a minimization of the CO2emisions is included. For solving the bi-objective problem, we proposed the use of NISE (Noninferior Set Estimation) algorithm combined with column generation for reduce the amount of variables in the problem.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 101

EP - 112

BT - Advances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI 2016, Proceedings

A2 - Escalante, Hugo Jair

A2 - Montes-y-Gomez, Manuel

A2 - Segura, Alberto

A2 - de Dios Murillo, Juan

PB - Springer

T2 - 15th Ibero-American Conference on Advances in Artificial Intelligence, IBERAMIA 2016

Y2 - 23 November 2016 through 25 November 2016

ER -

Franco C, López-Santana ER, Méndez-Giraldo G. A column generation approach for solving a green bi-objective inventory routing problem. In Escalante HJ, Montes-y-Gomez M, Segura A, de Dios Murillo J, editors, Advances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI 2016, Proceedings. Springer. 2016. p. 101-112. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-47955-2_9

A column generation approach for solving a green bi-objective inventory routing problem

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