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Article: Intelligent setup planning in manufacturing by neural networks based approach

TitleIntelligent setup planning in manufacturing by neural networks based approach
Authors
Issue Date2000
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0956-5515
Citation
Journal Of Intelligent Manufacturing, 2000, v. 11 n. 3, p. 311-331 How to Cite?
AbstractSetup planning is considered the most significant but also difficult activity in Computer Aided Process Planning (CAPP), and has a strong impact on manufacturability, product quality and production cost. Indeed, setup planning activity deserves much attention in CAPP. The setup planning in manufacturing consists mainly of three steps, namely, setup generation, operation sequence, and setup sequence. In this paper, the Kohonen self-organizing neural networks and Hopfield networks are adopted to solve such problems in setup planning efficiently. Kohonen self-organizing neural networks are utilized, according to the nature of the different steps in setup planning, to generate setups in terms of the constraints of fixtures/jigs, approach directions, feature precedence relationships, and tolerance relationships. The operation sequence problem and the setup sequence problem are mapped onto the traveling salesman problem, and are solved by Hopfield neural networks. This paper actually provides a complete research basis to solve the setup planning problem in CAPP, and also develops the most efficient neural networks based approaches to solve the setup planning problem in manufacturing. Indeed, the results of the proposed approaches work towards the optimal solution to the intelligent setup planning in manufacturing.
Persistent Identifierhttp://hdl.handle.net/10722/155842
ISSN
2015 Impact Factor: 1.995
2015 SCImago Journal Rankings: 1.397
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorMing, XGen_US
dc.contributor.authorMak, KLen_US
dc.date.accessioned2012-08-08T08:37:59Z-
dc.date.available2012-08-08T08:37:59Z-
dc.date.issued2000en_US
dc.identifier.citationJournal Of Intelligent Manufacturing, 2000, v. 11 n. 3, p. 311-331en_US
dc.identifier.issn0956-5515en_US
dc.identifier.urihttp://hdl.handle.net/10722/155842-
dc.description.abstractSetup planning is considered the most significant but also difficult activity in Computer Aided Process Planning (CAPP), and has a strong impact on manufacturability, product quality and production cost. Indeed, setup planning activity deserves much attention in CAPP. The setup planning in manufacturing consists mainly of three steps, namely, setup generation, operation sequence, and setup sequence. In this paper, the Kohonen self-organizing neural networks and Hopfield networks are adopted to solve such problems in setup planning efficiently. Kohonen self-organizing neural networks are utilized, according to the nature of the different steps in setup planning, to generate setups in terms of the constraints of fixtures/jigs, approach directions, feature precedence relationships, and tolerance relationships. The operation sequence problem and the setup sequence problem are mapped onto the traveling salesman problem, and are solved by Hopfield neural networks. This paper actually provides a complete research basis to solve the setup planning problem in CAPP, and also develops the most efficient neural networks based approaches to solve the setup planning problem in manufacturing. Indeed, the results of the proposed approaches work towards the optimal solution to the intelligent setup planning in manufacturing.en_US
dc.languageengen_US
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0956-5515en_US
dc.relation.ispartofJournal of Intelligent Manufacturingen_US
dc.titleIntelligent setup planning in manufacturing by neural networks based approachen_US
dc.typeArticleen_US
dc.identifier.emailMak, KL:makkl@hkucc.hku.hken_US
dc.identifier.authorityMak, KL=rp00154en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1023/A:1008975426914en_US
dc.identifier.scopuseid_2-s2.0-0034207429en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034207429&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume11en_US
dc.identifier.issue3en_US
dc.identifier.spage311en_US
dc.identifier.epage331en_US
dc.identifier.isiWOS:000088252800007-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridMing, XG=7005300183en_US
dc.identifier.scopusauthoridMak, KL=7102680226en_US

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