File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A tandem evolutionary algorithm for platform product customization

TitleA tandem evolutionary algorithm for platform product customization
Authors
Issue Date2007
PublisherA S M E International. The Journal's web site is located at http://ojps.aip.org/ASMEJournals/JCISE/
Citation
Journal Of Computing And Information Science In Engineering, 2007, v. 7 n. 2, p. 151-159 How to Cite?
AbstractThe increasing demand for reduction in time to market has led to new product development methodologies focusing on reuse. Platform product customization emerges as a basic idea for avoiding designing a new product completely from scratch, but reusing a product platform instead. Key dimensions of some modules of the platform can be stretched or shrunk while modules themselves can be swapped to formulate multiple product variants in a family according to specific customer requirements. This paper formulates such a problem of platform product customization as an optimization problem consistent with the manufacturer's goal in the design of product variants) while satisfying customer requirements and design constraints. Optimal customization takes place at the levels of product structure and module parameters. A tandem evolutionary algorithm is proposed for identifying the optimal structural composition and the optimal parameters of the corresponding structure. The encoding schemes and genetic operators for structure and parameter optimization are designed, respectively. A case study of gantry crane customization is given to illustrate how the proposed evolutionary customization design method is used. The effectiveness of the method is also evaluated through a series of sensitivity analyses. Copyright © by ASME.
Persistent Identifierhttp://hdl.handle.net/10722/155904
ISSN
2015 Impact Factor: 0.79
2015 SCImago Journal Rankings: 0.449
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorHuang, GQen_US
dc.contributor.authorLi, Len_US
dc.contributor.authorChen, Xen_US
dc.date.accessioned2012-08-08T08:38:18Z-
dc.date.available2012-08-08T08:38:18Z-
dc.date.issued2007en_US
dc.identifier.citationJournal Of Computing And Information Science In Engineering, 2007, v. 7 n. 2, p. 151-159en_US
dc.identifier.issn1530-9827en_US
dc.identifier.urihttp://hdl.handle.net/10722/155904-
dc.description.abstractThe increasing demand for reduction in time to market has led to new product development methodologies focusing on reuse. Platform product customization emerges as a basic idea for avoiding designing a new product completely from scratch, but reusing a product platform instead. Key dimensions of some modules of the platform can be stretched or shrunk while modules themselves can be swapped to formulate multiple product variants in a family according to specific customer requirements. This paper formulates such a problem of platform product customization as an optimization problem consistent with the manufacturer's goal in the design of product variants) while satisfying customer requirements and design constraints. Optimal customization takes place at the levels of product structure and module parameters. A tandem evolutionary algorithm is proposed for identifying the optimal structural composition and the optimal parameters of the corresponding structure. The encoding schemes and genetic operators for structure and parameter optimization are designed, respectively. A case study of gantry crane customization is given to illustrate how the proposed evolutionary customization design method is used. The effectiveness of the method is also evaluated through a series of sensitivity analyses. Copyright © by ASME.en_US
dc.languageengen_US
dc.publisherA S M E International. The Journal's web site is located at http://ojps.aip.org/ASMEJournals/JCISE/en_US
dc.relation.ispartofJournal of Computing and Information Science in Engineeringen_US
dc.titleA tandem evolutionary algorithm for platform product customizationen_US
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.doi10.1115/1.2720883en_US
dc.identifier.scopuseid_2-s2.0-38949120824en_US
dc.identifier.hkuros149765-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-38949120824&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume7en_US
dc.identifier.issue2en_US
dc.identifier.spage151en_US
dc.identifier.epage159en_US
dc.identifier.isiWOS:000247557100005-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridHuang, GQ=7403425048en_US
dc.identifier.scopusauthoridLi, L=36064664900en_US
dc.identifier.scopusauthoridChen, X=15031490600en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats