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Conference Paper: Case based polishing process planning with fuzzy set theory

TitleCase based polishing process planning with fuzzy set theory
Authors
KeywordsCase Based Process Planning
Case Based Reasoning
Fuzzy set theory
Process planning
Issue Date2008
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001598
Citation
The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2009), Singapore, 8-11 December 2008. In Proceedings of IEEM, 2008, p. 326-330 How to Cite?
AbstractIt is difficult to make optimal process planning for polishing product because of the complex processes and the multi-criteria, attributes and vagueness of process parameters. To solve this problem, this paper combines the methodologies of Case Based Reasoning (CBR) and fuzzy Set Theory (FST) to support process planners in planning processes and making decisions effectively for polishing product. Moreover, various mathematical models are designed and integrated to the Web Based Portal System (WBPS) which supports the optimization computation of process parameter settings and case reasoning for polishing product. Finally, some cooker samples from the collaborating company have been collected to demonstrate the effectiveness of Case Based Process Planning (CBPP) model. © 2008 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/62171
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorNgai, BKKen_HK
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorZhang, Yen_HK
dc.contributor.authorChen, Xen_HK
dc.contributor.authorLo, VHYen_HK
dc.date.accessioned2010-07-13T03:55:25Z-
dc.date.available2010-07-13T03:55:25Z-
dc.date.issued2008en_HK
dc.identifier.citationThe IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2009), Singapore, 8-11 December 2008. In Proceedings of IEEM, 2008, p. 326-330en_HK
dc.identifier.isbn978-1-4244-2630-0-
dc.identifier.urihttp://hdl.handle.net/10722/62171-
dc.description.abstractIt is difficult to make optimal process planning for polishing product because of the complex processes and the multi-criteria, attributes and vagueness of process parameters. To solve this problem, this paper combines the methodologies of Case Based Reasoning (CBR) and fuzzy Set Theory (FST) to support process planners in planning processes and making decisions effectively for polishing product. Moreover, various mathematical models are designed and integrated to the Web Based Portal System (WBPS) which supports the optimization computation of process parameter settings and case reasoning for polishing product. Finally, some cooker samples from the collaborating company have been collected to demonstrate the effectiveness of Case Based Process Planning (CBPP) model. © 2008 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1001598-
dc.relation.ispartofProceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008en_HK
dc.rightsIEEE International Conference on Industrial Engineering and Engineering Management Proceedings. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectCase Based Process Planningen_HK
dc.subjectCase Based Reasoningen_HK
dc.subjectFuzzy set theoryen_HK
dc.subjectProcess planningen_HK
dc.titleCase based polishing process planning with fuzzy set theoryen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4244-2630-0&volume=&spage=326&epage=330&date=2008&atitle=Case+based+polishing+process+planning+with+fuzzy+set+theory-
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/IEEM.2008.4737884en_HK
dc.identifier.scopuseid_2-s2.0-62749132263en_HK
dc.identifier.hkuros160365en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-62749132263&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage326en_HK
dc.identifier.epage330en_HK
dc.description.otherThe IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2009), Singapore, 8-11 December 2008. In Proceedings of IEEM, 2008, p. 326-330-
dc.identifier.scopusauthoridNgai, BKK=26421295000en_HK
dc.identifier.scopusauthoridHuang, GQ=7403425048en_HK
dc.identifier.scopusauthoridZhang, Y=8305738300en_HK
dc.identifier.scopusauthoridChen, X=34871663900en_HK
dc.identifier.scopusauthoridLo, VHY=7005645868en_HK

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