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Article: Two-stage product platform development for mass customisation

TitleTwo-stage product platform development for mass customisation
Authors
Keywordsmass customisation
product platform
Issue Date2011
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp
Citation
International Journal Of Production Research, 2011, v. 49 n. 8, p. 2197-2219 How to Cite?
AbstractDesigning new products based on those features (platforms) that have proven successful or 'fit' is generally termed as 'platform product development (PPD)'. This approach provides a basis for mass customisation (MC) which largely enhances an enterprise's competitiveness in terms of the speed, quality and cost. Currently, however, the PPD approach is heavily dependent on the experience and skills of individual designers and managers. Researchers have been working on platform leveraging strategies at the strategic level, and guidelines for better structuring the approach to facilitate its adoption and implementation. This research project recognises an equal need for scientific decision supports at the tactical level for design practitioners and managers to address fundamental questions such as: (A) how a platform should be established for a family of products in a given industrial and market context; and (B) how a product development team chooses and then customises the most appropriate product platform to meet the customer requirements from a specific market segment with particular manufacturing resources and supply bases. This paper describes a scientific and effective decision - genetic algorithm to assist product development practitioners and managers with major decision activities in the process of platform product development under several focus areas. © 2011 Taylor & Francis.
Persistent Identifierhttp://hdl.handle.net/10722/129241
ISSN
2023 Impact Factor: 7.0
2023 SCImago Journal Rankings: 2.668
ISI Accession Number ID
Funding AgencyGrant Number
HKU Research Committee200907176106
Hong Kong SAR RGC
ITFGHP/042/07LP
National Science Foundation of China60973132
Fundamental Research Funds for the Central Universities - SCUT2009ZZ0053
Guangdong Natural Science Foundation8451064101000630
Funding Information:

The authors are grateful to HKU Research Committee Small Project Funding (200907176106), Hong Kong SAR RGC, ITF (GHP/042/07LP), National Science Foundation of China (60973132), Fundamental Research Funds for the Central Universities - SCUT (2009ZZ0053), Guangdong Natural Science Foundation (8451064101000630) for providing partial financial support.

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorQu, Ten_HK
dc.contributor.authorBin, Sen_HK
dc.contributor.authorHuang, GQen_HK
dc.contributor.authorYang, HDen_HK
dc.date.accessioned2010-12-23T08:33:57Z-
dc.date.available2010-12-23T08:33:57Z-
dc.date.issued2011en_HK
dc.identifier.citationInternational Journal Of Production Research, 2011, v. 49 n. 8, p. 2197-2219en_HK
dc.identifier.issn0020-7543en_HK
dc.identifier.urihttp://hdl.handle.net/10722/129241-
dc.description.abstractDesigning new products based on those features (platforms) that have proven successful or 'fit' is generally termed as 'platform product development (PPD)'. This approach provides a basis for mass customisation (MC) which largely enhances an enterprise's competitiveness in terms of the speed, quality and cost. Currently, however, the PPD approach is heavily dependent on the experience and skills of individual designers and managers. Researchers have been working on platform leveraging strategies at the strategic level, and guidelines for better structuring the approach to facilitate its adoption and implementation. This research project recognises an equal need for scientific decision supports at the tactical level for design practitioners and managers to address fundamental questions such as: (A) how a platform should be established for a family of products in a given industrial and market context; and (B) how a product development team chooses and then customises the most appropriate product platform to meet the customer requirements from a specific market segment with particular manufacturing resources and supply bases. This paper describes a scientific and effective decision - genetic algorithm to assist product development practitioners and managers with major decision activities in the process of platform product development under several focus areas. © 2011 Taylor & Francis.en_HK
dc.languageengen_US
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.aspen_HK
dc.relation.ispartofInternational Journal of Production Researchen_HK
dc.subjectmass customisationen_HK
dc.subjectproduct platformen_HK
dc.titleTwo-stage product platform development for mass customisationen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0020-7543&volume=49&issue=8&spage=2197&epage=2219&date=2010&atitle=Two-stage+product+platform+development+for+mass+customization-
dc.identifier.emailQu, T: quting@hku.hken_HK
dc.identifier.emailBin, S: bins@hkusua.hku.hken_HK
dc.identifier.emailHuang, GQ: gqhuang@hku.hken_HK
dc.identifier.authorityQu, T=rp01500en_HK
dc.identifier.authorityBin, S=rp00085en_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/00207541003738881en_HK
dc.identifier.scopuseid_2-s2.0-79551643917en_HK
dc.identifier.hkuros176659en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79551643917&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume49en_HK
dc.identifier.issue8en_HK
dc.identifier.spage2197en_HK
dc.identifier.epage2219en_HK
dc.identifier.eissn1366-588X-
dc.identifier.isiWOS:000286879000004-
dc.publisher.placeUnited Kingdomen_HK
dc.relation.projectRFID-Enabled Real-Time Manufacturing Shop-floor Information Infrastructure for PRD Processing Trade Enterprises-
dc.identifier.scopusauthoridQu, T=35590322600en_HK
dc.identifier.scopusauthoridBin, S=7003811233en_HK
dc.identifier.scopusauthoridHuang, GQ=7403425048en_HK
dc.identifier.scopusauthoridYang, HD=36618491700en_HK
dc.identifier.citeulike8786055-
dc.identifier.issnl0020-7543-

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