An Integrated Approach for Fuzzy Set Based Part-Machine Cell Formation

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dc.contributor.authorKara, Yakup
dc.contributor.authorPaksoy, Turan
dc.contributor.authorChang, Ching-Ter
dc.date.accessioned2020-03-26T17:26:15Z
dc.date.available2020-03-26T17:26:15Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe nature of cell formation is imprecise and uncertain which is fuzzy rather than crisp and/or random. The binary part–machine incidence matrix fails in reflecting the real world conditions such as design features, part demands, machine capacities and routing data. Using the non-binary part- machine incidence matrix, the relationships between parts and machines can be represented by fuzzy membership values based on the alternative process plans and machine capacity limitations. This paper presents an integrated approach for fuzzy set based part– machine cell formation. The proposed approach em ploys a fuzzy binary integer model and is capable of determining process plans of parts and fuzzy membership values in the non-binary incidence matrix considering part demands and machine capacities. The proposed approach is illustrated and tested on a numerical example. Results show that the proposed approach is valid and capable of reflecting real world conditions.en_US
dc.identifier.citationKara, Y., Paksoy, T., Chang, C.-T., (2008). An Integrated Approach for Fuzzy Set Based Part-Machine Cell Formation. Selçuk Journal of Applied Mathematics, 9(1), 31-47.
dc.identifier.endpage47en_US
dc.identifier.issn1302-7980en_US
dc.identifier.issue1en_US
dc.identifier.startpage31en_US
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TnpjeU1URXg=
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22107
dc.identifier.volume9en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofSelçuk Journal of Applied Mathematicsen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectMatematiken_US
dc.subjectFuzzy set theory
dc.subjectBinary fuzzy goal programming
dc.subjectAlternative process plans
dc.subjectCell formation
dc.subjectCellular manufacturing
dc.titleAn Integrated Approach for Fuzzy Set Based Part-Machine Cell Formationen_US
dc.typeArticleen_US

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