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Conference Paper: Optimal service selection and composition for service-oriented manufacturing network

TitleOptimal service selection and composition for service-oriented manufacturing network
Authors
KeywordsPerformance Evaluation
Service Composition
Service Selection
Service-Oriented Manufacturing
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. 416-430 How to Cite?
Abstract
The management of services is the kernel content of service-oriented manufacturing. However, it is difficult to realise the integration and optimisation of services in an open environment, which contains large amounts randomicity and uncertainty. The key problem is how to realise the optimal service selection and composition. In this article, the comprehensive performance evaluation metrics for service-oriented manufacturing network is proposed, which combines the key performance indicators of services in business, service and implementation level. The performance evaluation model is brought forward to analyse the local and global performance. An uncertainty and genetic algorithm-based method is developed to realise the optimal service selection and composition in effective and efficient way. © 2011 Taylor & Francis.
Persistent Identifierhttp://hdl.handle.net/10722/158838
ISSN
2013 Impact Factor: 1.019
ISI Accession Number ID
References

 

Author Affiliations
  1. The University of Hong Kong
  2. Air Force Radar Academy
  3. Tsinghua University
DC FieldValueLanguage
dc.contributor.authorHuang, Sen_US
dc.contributor.authorZeng, Sen_US
dc.contributor.authorFan, Yen_US
dc.contributor.authorHuang, GQen_US
dc.date.accessioned2012-08-08T09:03:33Z-
dc.date.available2012-08-08T09:03:33Z-
dc.date.issued2011en_US
dc.identifier.citationInternational Journal Of Computer Integrated Manufacturing, 2011, v. 24 n. 5, p. 416-430en_US
dc.identifier.issn0951-192Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/158838-
dc.description.abstractThe management of services is the kernel content of service-oriented manufacturing. However, it is difficult to realise the integration and optimisation of services in an open environment, which contains large amounts randomicity and uncertainty. The key problem is how to realise the optimal service selection and composition. In this article, the comprehensive performance evaluation metrics for service-oriented manufacturing network is proposed, which combines the key performance indicators of services in business, service and implementation level. The performance evaluation model is brought forward to analyse the local and global performance. An uncertainty and genetic algorithm-based method is developed to realise the optimal service selection and composition in effective and efficient way. © 2011 Taylor & Francis.en_US
dc.languageengen_US
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/0951192X.aspen_US
dc.relation.ispartofInternational Journal of Computer Integrated Manufacturingen_US
dc.subjectPerformance Evaluationen_US
dc.subjectService Compositionen_US
dc.subjectService Selectionen_US
dc.subjectService-Oriented Manufacturingen_US
dc.titleOptimal service selection and composition for service-oriented manufacturing networken_US
dc.typeConference_Paperen_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.doi10.1080/0951192X.2010.511657en_US
dc.identifier.scopuseid_2-s2.0-79957530486en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79957530486&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume24en_US
dc.identifier.issue5en_US
dc.identifier.spage416en_US
dc.identifier.epage430en_US
dc.identifier.isiWOS:000289716100005-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridHuang, S=22334292100en_US
dc.identifier.scopusauthoridZeng, S=23391529300en_US
dc.identifier.scopusauthoridFan, Y=7403492233en_US
dc.identifier.scopusauthoridHuang, GQ=7403425048en_US

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