Comparative solution approach with quadratic and genetic programming to multi-objective healthcare facility location problem

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dc.authoridGULSUN, BAHADIR/0000-0003-2660-8041
dc.contributor.authorGulsun, Bahadir
dc.contributor.authorMic, Pinar
dc.contributor.authorEdali, Mert
dc.date.accessioned2025-03-17T12:25:32Z
dc.date.available2025-03-17T12:25:32Z
dc.date.issued2022
dc.departmentTarsus Üniversitesi
dc.description.abstractFacility layout planning is an indispensable part of the manufacturing and service operations. In the literature, there are two main different approaches for the solution of facility layout problem: While the first one aims to minimize both total transportation and assignment costs in a quantitative way, the second one aims to maximize the closeness relationship in a more qualitative way. In this study, we use both of these approaches to model a multi-objective facility layout optimization problem depending on a Quadratic Assignment Problem (QAP) formulation. We consider three objective which are minimizing the total walking distance, and the maximization of area satisfaction level and closeness relationships. Since these objectives have different scales, we normalize them to prevent a potential domination effect. Then, we solve the problem using Quadratic Assignment Problem (QAP) formulation and a genetic algorithm approach and compare the results. These approaches provide non-dominated solutions to multi-objective problem being considered. In this way, we assign the departments of a healthcare facility to predetermined areas. In addition, our formulation enables the planners to prevent patient losses and increase the patient satisfaction.
dc.identifier.doi10.14744/sigma.2022.00006
dc.identifier.endpage78
dc.identifier.issn1304-7205
dc.identifier.issn1304-7191
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85160238721
dc.identifier.scopusqualityN/A
dc.identifier.startpage63
dc.identifier.urihttps://doi.org/10.14744/sigma.2022.00006
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1712
dc.identifier.volume40
dc.identifier.wosWOS:000777898300001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherYildiz Technical Univ
dc.relation.ispartofSigma Journal of Engineering and Natural Sciences-Sigma Muhendislik Ve Fen Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250316
dc.subjectlealthcare facility layout problem
dc.subjectGenetic algorithm
dc.subjectQuadratic programming
dc.subjectQuadratic Assignment Problem (QAP)
dc.subjectMulti-objective facility layout problem
dc.subjectHospital layout
dc.titleComparative solution approach with quadratic and genetic programming to multi-objective healthcare facility location problem
dc.typeArticle

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