Effective clustering method for group technology problems

dc.contributor.author	Ghosh, Tamal	en
dc.contributor.author	Dan, Pranab K.	en
dc.date.accessioned	2015-02-02T09:46:51Z
dc.date.available	2015-02-02T09:46:51Z
dc.date.issued	2015-02-02
dc.identifier.uri	http://hdl.handle.net/11400/5439
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://e-jst.teiath.gr/	en
dc.subject	Cell formation
dc.subject	Σχηματισμός κυττάρων
dc.subject	Group technology
dc.subject	Τεχνολογία Ομάδας
dc.subject	Machine part grouping
dc.subject	Μηχανή μέρους ομαδοποίησης
dc.subject	Hybrid clustering technique
dc.subject	Υβριδική τεχνική ομαδοποίησης
dc.subject	Correlation coefficient
dc.subject	Συντελεστής συσχέτισης
dc.title	Effective clustering method for group technology problems	en
heal.type	journalArticle
heal.secondaryTitle	a short communication	en
heal.classification	Technology
heal.classification	Engineering
heal.classification	Τεχνολογία
heal.classification	Μηχανική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/19795-3
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Μηχανική
heal.language	en
heal.access	free
heal.publicationDate	2011
heal.bibliographicCitation	Ghosh, T. and Dan, P.K. (2011). Effective clustering method for group technology problems: a short communication. "e-Journal of Science & Technology". [Online] 6(4): 23-28. Available from: http://e-jst.teiath.gr/	en
heal.abstract	Cellular manufacturing (CM) has acquired an upward interest of researchers in recent era. The most important problem in designing cellular manufacturing systems is the cell formation (CF), which constructs part families with similar processing requirements and designates machines into machine cells to optimize the production process. This article presents a short research report based on hybrid approach to the CF problem in CM. The proposed approach exploits Pearson’s correlation coefficient and weighted average linkage clustering technique. Thereafter a modified part grouping method is introduced to improve the quality of solutions. The proposed technique is tested on 12 published datasets and the experimental results signify that the proposed method is quite effective for small to medium size problems.	en
heal.publisher	Νερατζής, Ηλίας	el
heal.publisher	Σιανούδης, Ιωάννης	el
heal.journalName	e-Journal of Science & Technology	en
heal.journalName	e-Περιοδικό Επιστήμης & Τεχνολογίας	el
heal.journalType	peer-reviewed
heal.fullTextAvailability	true