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An application of fuzzy clustering to manufacturing cell design

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dc.contributor.authors Torkul, O; Cedimoglu, IH; Geyik, AK;
dc.date.accessioned 2020-01-13T08:04:27Z
dc.date.available 2020-01-13T08:04:27Z
dc.date.issued 2006
dc.identifier.citation Torkul, O; Cedimoglu, IH; Geyik, AK; (2006). An application of fuzzy clustering to manufacturing cell design. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 17, 181-173
dc.identifier.issn 1064-1246
dc.identifier.uri https://hdl.handle.net/20.500.12619/2611
dc.description.abstract There are several methods and techniques for manufacturing cell design. Many clustering techniques have focused on operations that have been made on part-machine matrix. Some methods have used array-based techniques while others have used similarity coefficient or distance criteria in order to determine clusters. It has been seen from the recent researches, solutions may be changeable related to using algorithms. In order to investigate the applicability of several techniques it is necessary to obtain in comparison with each other. Artificial intelligence technologies are commonly in use in clustering problems as other manufacturing issues. In this study, fuzzy logic approach is studied in design of part families and machine cells simultaneously. The aim at this study is to compare manufacturing cell design which made of fuzzy clustering algorithm (Fuzzy C-Means) with the crisp methods. It has been seen from the result of the study, fuzzy clustering solutions may be efficient than the crisp method for the selected data sets.
dc.language English
dc.publisher IOS PRESS
dc.subject Computer Science
dc.title An application of fuzzy clustering to manufacturing cell design
dc.type Article
dc.identifier.volume 17
dc.identifier.startpage 173
dc.identifier.endpage 181
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü
dc.contributor.saüauthor Torkul, Orhan
dc.contributor.saüauthor Cedimoğlu, İsmail Hakkı
dc.relation.journal JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
dc.identifier.wos WOS:000237310800007
dc.identifier.eissn 1875-8967
dc.contributor.author Torkul, Orhan
dc.contributor.author Cedimoğlu, İsmail Hakkı


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