A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling

Harris, Irina ORCID: https://orcid.org/0000-0003-0622-5123, Mumford, Christine L. ORCID: https://orcid.org/0000-0002-4514-0272 and Naim, Mohamed M. ORCID: https://orcid.org/0000-0003-3361-9400 2014. A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling. Transportation Research Part E: Logistics and Transportation Review 66 , pp. 1-22. 10.1016/j.tre.2014.01.010

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Abstract

We propose an efficient evolutionary multi-objective optimization approach to the capacitated facility location–allocation problem (CFLP) for solving large instances that considers flexibility at the allocation level, where financial costs and CO2 emissions are considered simultaneously. Our approach utilizes suitably adapted Lagrangian Relaxation models for dealing with costs and CO2 emissions at the allocation level, within a multi-objective evolutionary framework at the location level. Thus our method assesses the robustness of each location solution with respect to our two objectives for customer allocation. We extend our exploration of selected solutions by considering a range of trade-offs for customer allocation.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics Business (Including Economics) Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HE Transportation and Communications
Additional Information:	This is an open access article under the terms of the CC-BY license.
Publisher:	Elsevier
ISSN:	1366-5545
Funders:	EPSRC
Date of First Compliant Deposit:	30 March 2016
Date of Acceptance:	27 January 2014
Last Modified:	05 May 2023 00:00
URI:	https://orca.cardiff.ac.uk/id/eprint/58612

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