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Article: A hybrid intelligent inference model for computer aided process planning

TitleA hybrid intelligent inference model for computer aided process planning
Authors
KeywordsComputer-Aided Process Planning
Computer-Integrated Manufacturing
Expert Systems
Model
Neural Networks
Issue Date1999
PublisherEmerald Group Publishing Limited. The Journal's web site is located at http://www.emeraldinsight.com/info/journals/jmtm/jmtm.jsp
Citation
Integrated Manufacturing Systems, 1999, v. 10 n. 6, p. 343-353 How to Cite?
AbstractComputer aided process planning (CAPP) is generally acknowledged as a significant activity to achieve computer-integrated manufacturing (CIM). In coping with the dynamic changes in the modern manufacturing environment, the awareness of developing intelligent CAPP systems has to be raised, in an attempt to generate more successful implementations of intelligent manufacturing systems. In this paper, the architecture of a hybrid intelligent inference model for implementing the intelligent CAPP system is developed. The detailed structure for such a model is also constructed. The establishment of the hybrid intelligent inference model will enable the CAPP system to adapt automatically to the dynamic manufacturing environment, with a view to the ultimate realization of full implementation of intelligent manufacturing systems in enterprises.
Persistent Identifierhttp://hdl.handle.net/10722/155780
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorMing, XGen_US
dc.contributor.authorMak, KLen_US
dc.contributor.authorYan, JQen_US
dc.date.accessioned2012-08-08T08:37:44Z-
dc.date.available2012-08-08T08:37:44Z-
dc.date.issued1999en_US
dc.identifier.citationIntegrated Manufacturing Systems, 1999, v. 10 n. 6, p. 343-353en_US
dc.identifier.issn0957-6061en_US
dc.identifier.urihttp://hdl.handle.net/10722/155780-
dc.description.abstractComputer aided process planning (CAPP) is generally acknowledged as a significant activity to achieve computer-integrated manufacturing (CIM). In coping with the dynamic changes in the modern manufacturing environment, the awareness of developing intelligent CAPP systems has to be raised, in an attempt to generate more successful implementations of intelligent manufacturing systems. In this paper, the architecture of a hybrid intelligent inference model for implementing the intelligent CAPP system is developed. The detailed structure for such a model is also constructed. The establishment of the hybrid intelligent inference model will enable the CAPP system to adapt automatically to the dynamic manufacturing environment, with a view to the ultimate realization of full implementation of intelligent manufacturing systems in enterprises.en_US
dc.languageengen_US
dc.publisherEmerald Group Publishing Limited. The Journal's web site is located at http://www.emeraldinsight.com/info/journals/jmtm/jmtm.jspen_US
dc.relation.ispartofIntegrated Manufacturing Systemsen_US
dc.subjectComputer-Aided Process Planningen_US
dc.subjectComputer-Integrated Manufacturingen_US
dc.subjectExpert Systemsen_US
dc.subjectModelen_US
dc.subjectNeural Networksen_US
dc.titleA hybrid intelligent inference model for computer aided process planningen_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.scopuseid_2-s2.0-0011989414en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0011989414&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume10en_US
dc.identifier.issue6en_US
dc.identifier.spage343en_US
dc.identifier.epage353en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridMing, XG=7005300183en_US
dc.identifier.scopusauthoridMak, KL=7102680226en_US
dc.identifier.scopusauthoridYan, JQ=7403728727en_US

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