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Article: Platform based evolutionary product customization

TitlePlatform based evolutionary product customization
基于雙層進化的產品客戶化設計
Authors
KeywordsCustomization Design
Evolutionary Design
Genetic Algorithm
Genetic Programming
Mass Customization
Product Platform
Issue Date2005
Publisher上海交通大學學報編輯室.
Citation
Shanghai Jiaotong Daxue Xuebao/Journal Of Shanghai Jiaotong University, 2005, v. 39 n. 6, p. 857-863 How to Cite?
上海交通大學學報, 2005, v. 39 n. 6, p. 857-863 How to Cite?
AbstractThis paper is concerned with the development of a methodology for customizing product designs from a product platform using genetic algorithm to satisfy customers' requirements. The structure of the product platform was modeled by an AND/OR/RL tree. Each node in the tree denotes a module, a component or a variable. The optimal product design includes the structural design and its relevant parameters. Two-layer evolutionary algorithm was employed for identifying the optimal structure and its parameters. A case study on the worm gear reducer was given to illustrate the framework and the proof-of-the-concept prototype system while the framework must be further substantiated through more comprehensive case studies.
Persistent Identifierhttp://hdl.handle.net/10722/155877
ISSN
2015 SCImago Journal Rankings: 0.190
References

 

DC FieldValueLanguage
dc.contributor.authorRen, ZMen_US
dc.contributor.authorJiang, ZHen_US
dc.contributor.authorHuang, GQen_US
dc.date.accessioned2012-08-08T08:38:09Z-
dc.date.available2012-08-08T08:38:09Z-
dc.date.issued2005en_US
dc.identifier.citationShanghai Jiaotong Daxue Xuebao/Journal Of Shanghai Jiaotong University, 2005, v. 39 n. 6, p. 857-863en_US
dc.identifier.citation上海交通大學學報, 2005, v. 39 n. 6, p. 857-863-
dc.identifier.issn1006-2467en_US
dc.identifier.urihttp://hdl.handle.net/10722/155877-
dc.description.abstractThis paper is concerned with the development of a methodology for customizing product designs from a product platform using genetic algorithm to satisfy customers' requirements. The structure of the product platform was modeled by an AND/OR/RL tree. Each node in the tree denotes a module, a component or a variable. The optimal product design includes the structural design and its relevant parameters. Two-layer evolutionary algorithm was employed for identifying the optimal structure and its parameters. A case study on the worm gear reducer was given to illustrate the framework and the proof-of-the-concept prototype system while the framework must be further substantiated through more comprehensive case studies.en_US
dc.languagechien_US
dc.publisher上海交通大學學報編輯室.-
dc.relation.ispartofShanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong Universityen_US
dc.relation.ispartof上海交通大學學報-
dc.subjectCustomization Designen_US
dc.subjectEvolutionary Designen_US
dc.subjectGenetic Algorithmen_US
dc.subjectGenetic Programmingen_US
dc.subjectMass Customizationen_US
dc.subjectProduct Platformen_US
dc.titlePlatform based evolutionary product customizationen_US
dc.title基于雙層進化的產品客戶化設計-
dc.typeArticleen_US
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_US
dc.identifier.authorityHuang, GQ=rp00118en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-23744444743en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-23744444743&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume39en_US
dc.identifier.issue6en_US
dc.identifier.spage857en_US
dc.identifier.epage863en_US
dc.publisher.placeChina-
dc.identifier.scopusauthoridRen, ZM=8702547500en_US
dc.identifier.scopusauthoridJiang, ZH=35240389200en_US
dc.identifier.scopusauthoridHuang, GQ=7403425048en_US
dc.customcontrol.immutablejt 130410-

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