A Column Generation Approach for Solving a Green Bi-objective Inventory Routing Problem

Carlos Alberto Franco Franco, eduyn ramiro Lopéz-Santana, Germán Méndez-Giraldo

Resultado de la investigación: Contribución a Revista

2 Citas (Scopus)

Resumen

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 CO2 emisions 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.
Idioma originalEnglish (US)
Páginas (desde-hasta)101-112
Número de páginas12
PublicaciónLecture Notes in Computer Science
Volumen10022
DOI
EstadoPublished - dic 10 2016

Huella dactilar

Column Generation
Routing Problem
Estimation Algorithms
Supply Chain
Logistics
Supply chains
Minimise
Costs

Citar esto

Franco Franco, Carlos Alberto ; Lopéz-Santana, eduyn ramiro ; Méndez-Giraldo, Germán. / A Column Generation Approach for Solving a Green Bi-objective Inventory Routing Problem. En: Lecture Notes in Computer Science. 2016 ; Vol. 10022. pp. 101-112.
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A Column Generation Approach for Solving a Green Bi-objective Inventory Routing Problem. / Franco Franco, Carlos Alberto; Lopéz-Santana, eduyn ramiro; Méndez-Giraldo, Germán.

En: Lecture Notes in Computer Science, Vol. 10022, 10.12.2016, p. 101-112.

Resultado de la investigación: Contribución a Revista

TY - JOUR

T1 - A Column Generation Approach for Solving a Green Bi-objective Inventory Routing Problem

AU - Franco Franco, Carlos Alberto

AU - Lopéz-Santana, eduyn ramiro

AU - Méndez-Giraldo, Germán

PY - 2016/12/10

Y1 - 2016/12/10

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 CO2 emisions 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 CO2 emisions 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.

U2 - 10.1007/978-3-319-47955-2

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

M3 - Conference article

VL - 10022

SP - 101

EP - 112

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

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