Ítem
Solo Metadatos
A column generation approach for solving a green bi-objective inventory routing problem
Título de la revista
Autores
Franco Franco, Carlos Alberto
López-Santana E.R.
Méndez-Giraldo G.
Fecha
2016
Directores
ISSN de la revista
Título del volumen
Editor
Springer Verlag
Buscar en:
Métricas alternativas
Resumen
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. © Springer International Publishing AG 2016.
Palabras clave
Keywords
Artificial intelligence , Carbon dioxide , Logistics , Multiobjective optimization , Optimization , Supply chains , Bi objectives , Column generation , Column generation approach , Green logistics , Inventory routing problems , Multi objective algorithm , NISE , Supply chain network , Linear programming , Column generation , Green logistics , Inventory routing problem , Multi-objective optimization , NISE
