Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60226
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLi, KH-
dc.creatorLee, SF-
dc.creatorLi, CK-
dc.creatorLu, D-
dc.date.accessioned2016-11-21T02:36:23Z-
dc.date.available2016-11-21T02:36:23Z-
dc.identifier.issn1009-9492-
dc.identifier.urihttp://hdl.handle.net/10397/60226-
dc.language.isoenen_US
dc.publisher广东省机械硏究所en_US
dc.rights© 2002 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。en_US
dc.rights© 2002 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.en_US
dc.subjectSMT assemblyen_US
dc.subjectPCB groupingen_US
dc.subjectPCB-component matrixen_US
dc.subjectClustering techniquesen_US
dc.subjectFuzzy c-means clustering.en_US
dc.titleGrouping SMT PCB assembly using FCM algorithmen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage112-
dc.identifier.epage116-
dc.identifier.volume31-
dc.identifier.issue6-
dcterms.abstractThis is a further development work on grouping of printed circuit boards(PCBs)for Surface Mount Assembly in the electronic industry.The arrangement of PCBs among several surface mount machine lines is a typical kind of group technology(GT)problem.From literatures,there are various clustering techniques developed to solve the clustering problems.In this paper,fuzzy c-means clustering(FCM)is used to solve the PCBs grouping problem.Applying them in a real problem compares the results of the two methods.The result shows that there should be a systematic method to arrange the scheduling of PCB assemblies in electronic industry to improve the operations planning process. 还原-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation机电工程技术 (Machine development), Dec. 2002, v. 31, no. 6, p. 112-116-
dcterms.isPartOf机电工程技术 (Machine development)-
dcterms.issued2002-
dc.identifier.rosgroupidr12907-
dc.description.ros2002-2003 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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