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Article: Analytical target cascading-enabled optimal configuration platform for production service systems

TitleAnalytical target cascading-enabled optimal configuration platform for production service systems
Authors
Keywordsanalytical target cascading
collaborative production
manufacturing alliance
product service system
service oriented architecture (SOA)
Issue Date2011
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/0951192X.asp
Citation
International Journal Of Computer Integrated Manufacturing, 2011, v. 24 n. 5, p. 457-470 How to Cite?
AbstractProduction service system (PnSS) is a new business mode where a manufacturer obtains manufacturing resources in the form of continuous production services instead of resource entities. This new mode helps reduce the setup costs and technical/financial risks of production resources while ensuring their life cycle service levels. Industrial product service system advocates the servitisation of production facilities and has evolved into a successful and mature type of PnSS. This article proposes a PnSS framework that expands the scope of production services to include component services, i.e. suppliers provide not only the component entities but also a series of services related to the components' stocking, assembling and even consuming, to their customers along the supply chain. A systematic PnSS configuration (PnSSC) methodology and the enabling platform are developed based on a newly extended analytical target cascading (ATC) method. As ATC accommodates heterogeneous sub-system integration and multi-level problem solving, the methodologies are able to address the typical challenges that a practical component service PnSSC process normally faces, such as distributed decision rights, uncertain decision structure and short decision period. Due to the similar and normally simplified configuration requirements, this methodology and platform are also both generic enough to be applied or adapted for PnSS of other production resources. © 2011 Taylor & Francis.
Persistent Identifierhttp://hdl.handle.net/10722/134655
ISSN
2015 Impact Factor: 1.319
2015 SCImago Journal Rankings: 0.673
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorQu, Ten_HK
dc.contributor.authorChen, XDen_HK
dc.contributor.authorZhang, Yen_HK
dc.contributor.authorYang, Hen_HK
dc.contributor.authorHuang, GQen_HK
dc.date.accessioned2011-07-05T08:23:23Z-
dc.date.available2011-07-05T08:23:23Z-
dc.date.issued2011en_HK
dc.identifier.citationInternational Journal Of Computer Integrated Manufacturing, 2011, v. 24 n. 5, p. 457-470en_HK
dc.identifier.issn0951-192Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/134655-
dc.description.abstractProduction service system (PnSS) is a new business mode where a manufacturer obtains manufacturing resources in the form of continuous production services instead of resource entities. This new mode helps reduce the setup costs and technical/financial risks of production resources while ensuring their life cycle service levels. Industrial product service system advocates the servitisation of production facilities and has evolved into a successful and mature type of PnSS. This article proposes a PnSS framework that expands the scope of production services to include component services, i.e. suppliers provide not only the component entities but also a series of services related to the components' stocking, assembling and even consuming, to their customers along the supply chain. A systematic PnSS configuration (PnSSC) methodology and the enabling platform are developed based on a newly extended analytical target cascading (ATC) method. As ATC accommodates heterogeneous sub-system integration and multi-level problem solving, the methodologies are able to address the typical challenges that a practical component service PnSSC process normally faces, such as distributed decision rights, uncertain decision structure and short decision period. Due to the similar and normally simplified configuration requirements, this methodology and platform are also both generic enough to be applied or adapted for PnSS of other production resources. © 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/0951192X.aspen_HK
dc.relation.ispartofInternational Journal of Computer Integrated Manufacturingen_HK
dc.subjectanalytical target cascadingen_HK
dc.subjectcollaborative productionen_HK
dc.subjectmanufacturing allianceen_HK
dc.subjectproduct service systemen_HK
dc.subjectservice oriented architecture (SOA)en_HK
dc.titleAnalytical target cascading-enabled optimal configuration platform for production service systemsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0951-192X&volume=24&issue=5&spage=457&epage=470&date=2011&atitle=Analytical+target+cascading-enabled+optimal+configuration+platform+for+production+service+systems-
dc.identifier.emailQu, T:quting@hku.hken_HK
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_HK
dc.identifier.authorityQu, T=rp01500en_HK
dc.identifier.authorityHuang, GQ=rp00118en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/0951192X.2010.551282en_HK
dc.identifier.scopuseid_2-s2.0-79957532381en_HK
dc.identifier.hkuros186243-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79957532381&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume24en_HK
dc.identifier.issue5en_HK
dc.identifier.spage457en_HK
dc.identifier.epage470en_HK
dc.identifier.isiWOS:000289716100008-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridQu, T=35590322600en_HK
dc.identifier.scopusauthoridChen, XD=35387639600en_HK
dc.identifier.scopusauthoridZhang, Y=8305738300en_HK
dc.identifier.scopusauthoridYang, H=39661416600en_HK
dc.identifier.scopusauthoridHuang, GQ=7403425048en_HK

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