A bicriteria approach for the semi-desirable facility location problem

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dc.authoridErsoy Duran, Fatma/0000-0003-2749-5018
dc.authoridTezcaner Ozturk, Diclehan/0000-0002-8628-0984
dc.contributor.authorDuran, Fatma Ersoy
dc.contributor.authorOzturk, Diclehan Tezcaner
dc.date.accessioned2025-03-17T12:25:26Z
dc.date.available2025-03-17T12:25:26Z
dc.date.issued2024
dc.departmentTarsus Üniversitesi
dc.description.abstractSemi-desirable facilities have both desirable and undesirable effects on the demand points in their vicinity, which necessitates them to be located both close to and far away from those points. In this study, a bi-objective semi-desirable facility location problem with both desirable and undesirable effects is considered. The first objective minimizes the total transportation cost between the facility and the demand points and tends to locate the facility closer to these points. Assuming that the transportations are made on road maps, the rectilinear distance metric is used to compute the first criterion. The second objective function minimizes the maximum undesirable effect of the facility on the demand points, and it thus tends to locate the facility farther from the demand points. The undesirable effect of the facility on a demand point is represented with a function based on the distance between them. The undesirable effect stays constant within a close proximity of the facility, beyond this proximity it decreases linearly and becomes zero. Assuming that the undesirable effects spread radially from the facility, the Euclidean distance metric is used to compute the second criterion. We first develop a mixed integer nonlinear programming model for the problem. As a second approach, the Big Square Small Square (BSSS) algorithm that searches for a solution by dividing the solution area into sub-regions is adapted to the problem. A mathematical model with low computational requirements is developed to effectively evaluate whether there is an efficient solution in the sub-regions or not. The approach is demonstrated on two large problem instances, in which efficient solutions are obtained quickly by reducing the solution area.
dc.identifier.doi10.17341/gazimmfd.1164114
dc.identifier.endpage430
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85174265264
dc.identifier.scopusqualityQ2
dc.identifier.startpage417
dc.identifier.trdizinid1249338
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.1164114
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1249338
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1680
dc.identifier.volume39
dc.identifier.wosWOS:001058089000032
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherGazi Univ, Fac Engineering Architecture
dc.relation.ispartofJournal of The Faculty of Engineering and Architecture of Gazi University
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250316
dc.subjectFacility location
dc.subjectsemi-desirable
dc.subjectmultiobjective optimization
dc.titleA bicriteria approach for the semi-desirable facility location problem
dc.typeArticle

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