A roommate problem and room allocation in dormitories using mathematical modeling and multi-attribute decision-making techniques

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dc.authoridKhalili-Fard, Alireza/0000-0002-9575-5486
dc.authoridAlipour-Vaezi, Mohammad/0000-0002-7529-1848
dc.authorwosidKhalili-Fard, Alireza/KBB-3263-2024
dc.authorwosidBozorgi-Amiri, Ali/D-9899-2015
dc.authorwosidAlipour-Vaezi, Mohammad/AEV-7550-2022
dc.contributor.authorKhalili-Fard, Alireza
dc.contributor.authorTavakkoli-Moghaddam, Reza
dc.contributor.authorAbdali, Nasser
dc.contributor.authorAlipour-Vaezi, Mohammad
dc.contributor.authorBozorgi-Amiri, Ali
dc.date.accessioned2024-05-19T14:46:33Z
dc.date.available2024-05-19T14:46:33Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractPurposeIn recent decades, the student population in dormitories has increased notably, primarily attributed to the growing number of international students. Dormitories serve as pivotal environments for student development. The coordination and compatibility among students can significantly influence their overall success. This study aims to introduce an innovative method for roommate selection and room allocation within dormitory settings.Design/methodology/approachIn this study, initially, using multi-attribute decision-making methods including the Bayesian best-worst method and weighted aggregated sum product assessment, the incompatibility rate among pairs of students is calculated. Subsequently, using a linear mathematical model, roommates are selected and allocated to dormitory rooms pursuing the twin objectives of minimizing the total incompatibility rate and costs. Finally, the grasshopper optimization algorithm is applied to solve large-sized instances.FindingsThe results demonstrate the effectiveness of the proposed method in comparison to two common alternatives, i.e. random allocation and preference-based allocation. Moreover, the proposed method's applicability extends beyond its current context, making it suitable for addressing various matching problems, including crew pairing and classmate pairing.Originality/valueThis novel method for roommate selection and room allocation enhances decision-making for optimal dormitory arrangements. Inspired by a real-world problem faced by the authors, this study strives to offer a robust solution to this problem.en_US
dc.identifier.doi10.1108/JM2-09-2023-0214
dc.identifier.issn1746-5664
dc.identifier.issn1746-5672
dc.identifier.scopus2-s2.0-85185700253en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org10.1108/JM2-09-2023-0214
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5547
dc.identifier.wosWOS:001169566500001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherEmerald Group Publishing Ltden_US
dc.relation.ispartofJournal of Modelling In Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectRoommate Problemen_US
dc.subjectMulti-Objective Optimizationen_US
dc.subjectMulti-Attribute Decision-Makingen_US
dc.subjectMeta-Heuristic Algorithmsen_US
dc.titleA roommate problem and room allocation in dormitories using mathematical modeling and multi-attribute decision-making techniquesen_US
dc.typeArticleen_US

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