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Erschienen in:
Towards an Integration of Workflows and Clinical Guidelines: A Case Study Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

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

verfasst von : Carlos Franco, Eduyn Ramiro López-Santana, Germán Méndez-Giraldo

Erschienen in: Advances in Artificial Intelligence - IBERAMIA 2016

Verlag: Springer International Publishing

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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 \( CO_{2} \) 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.

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Metadaten
Titel
A Column Generation Approach for Solving a Green Bi-objective Inventory Routing Problem
verfasst von
Carlos Franco
Eduyn Ramiro López-Santana
Germán Méndez-Giraldo
Copyright-Jahr
2016
Buch
Advances in Artificial Intelligence - IBERAMIA 2016

Print ISBN: 978-3-319-47954-5

Electronic ISBN: 978-3-319-47955-2

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-47955-2_9