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Article: Machine-component grouping using genetic algorithms

TitleMachine-component grouping using genetic algorithms
Authors
KeywordsGenetic algorithms
Machine-component groupings
Mathematical models
Issue Date1998
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/rcim
Citation
Robotics And Computer-Integrated Manufacturing, 1998, v. 14 n. 5-6, p. 339-346 How to Cite?
AbstractOne major problem in cellular manufacturing is the grouping of component parts with similar processing requirements into part families, and machines into manufacturing cells to facilitate the manufacturing of specific part families assigned to them. The objective is to minimize the total inter-cell and intra-cell movements of parts during the manufacturing process. In this paper, a mathematical model is presented to describe the characteristics of such a problem. An approach based on the concept of genetic algorithms is developed to determine the optimal machine-component groupings. Illustrative examples are used to demonstrate the efficiency of the proposed approach. Indeed, the results obtained show that the proposed genetic approach is a simple and efficient means for solving the machine-component grouping problem. © 1998 Published by Elsevier Science Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/74504
ISSN
2015 Impact Factor: 2.077
2015 SCImago Journal Rankings: 1.621
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorMak, KLen_HK
dc.contributor.authorLuong, LHSen_HK
dc.contributor.authorMing, XGen_HK
dc.date.accessioned2010-09-06T07:01:58Z-
dc.date.available2010-09-06T07:01:58Z-
dc.date.issued1998en_HK
dc.identifier.citationRobotics And Computer-Integrated Manufacturing, 1998, v. 14 n. 5-6, p. 339-346en_HK
dc.identifier.issn0736-5845en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74504-
dc.description.abstractOne major problem in cellular manufacturing is the grouping of component parts with similar processing requirements into part families, and machines into manufacturing cells to facilitate the manufacturing of specific part families assigned to them. The objective is to minimize the total inter-cell and intra-cell movements of parts during the manufacturing process. In this paper, a mathematical model is presented to describe the characteristics of such a problem. An approach based on the concept of genetic algorithms is developed to determine the optimal machine-component groupings. Illustrative examples are used to demonstrate the efficiency of the proposed approach. Indeed, the results obtained show that the proposed genetic approach is a simple and efficient means for solving the machine-component grouping problem. © 1998 Published by Elsevier Science Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/rcimen_HK
dc.relation.ispartofRobotics and Computer-Integrated Manufacturingen_HK
dc.subjectGenetic algorithmsen_HK
dc.subjectMachine-component groupingsen_HK
dc.subjectMathematical modelsen_HK
dc.titleMachine-component grouping using genetic algorithmsen_HK
dc.typeArticleen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.emailMak, KL: makkl@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.identifier.authorityMak, KL=rp00154en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0032183826en_HK
dc.identifier.hkuros46733en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032183826&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume14en_HK
dc.identifier.issue5-6en_HK
dc.identifier.spage339en_HK
dc.identifier.epage346en_HK
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridMak, KL=7102680226en_HK
dc.identifier.scopusauthoridLuong, LHS=26643377600en_HK
dc.identifier.scopusauthoridMing, XG=7005300183en_HK

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