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

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

Research output: Contribution to journalConference article

3 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)101-112
Number of pages12
JournalLecture Notes in Computer Science
StatePublished - Dec 10 2016


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