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dc.contributor.authorKucukdeniz, Tarik
dc.contributor.authorEsnaf, Sakir
dc.date.accessioned2021-03-03T18:25:41Z
dc.date.available2021-03-03T18:25:41Z
dc.date.issued2009
dc.identifier.citationEsnaf S., Kucukdeniz T., "A fuzzy clustering-based hybrid method for a multi-facility location problem", JOURNAL OF INTELLIGENT MANUFACTURING, cilt.20, sa.2, ss.259-265, 2009
dc.identifier.issn0956-5515
dc.identifier.othervv_1032021
dc.identifier.otherav_4ef93651-3549-4916-a502-fb8a00f9f48a
dc.identifier.urihttp://hdl.handle.net/20.500.12627/56372
dc.identifier.urihttps://doi.org/10.1007/s10845-008-0233-y
dc.description.abstractA fuzzy clustering-based hybrid method for a multi-facility location problem is presented in this study. It is assumed that capacity of each facility is unlimited. The method uses different approaches sequentially. Initially, customers are grouped by spherical and elliptical fuzzy cluster analysis methods in respect to their geographical locations. Different numbers of clusters are experimented. Then facilities are located at the proposed cluster centers. Finally each cluster is solved as a single facility location problem. The center of gravity method, which optimizes transportation costs is employed to fine tune the facility location. In order to compare logistical performance of the method, a real world data is gathered. Results of existing and proposed locations are reported.
dc.language.isoeng
dc.subjectMühendislik ve Teknoloji
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMÜHENDİSLİK, ÜRETİM
dc.subjectMühendislik
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.titleA fuzzy clustering-based hybrid method for a multi-facility location problem
dc.typeMakale
dc.relation.journalJOURNAL OF INTELLIGENT MANUFACTURING
dc.contributor.departmentİstanbul Üniversitesi , ,
dc.identifier.volume20
dc.identifier.issue2
dc.identifier.startpage259
dc.identifier.endpage265
dc.contributor.firstauthorID40216


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