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Conference Paper: Optimal service selection and composition for service-oriented manufacturing network
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TitleOptimal service selection and composition for service-oriented manufacturing network
 
AuthorsHuang, S3
Zeng, S2
Fan, Y3
Huang, GQ1
 
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
 
CitationInternational Journal Of Computer Integrated Manufacturing, 2011, v. 24 n. 5, p. 416-430 [How to Cite?]
DOI: http://dx.doi.org/10.1080/0951192X.2010.511657
 
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.
 
ISSN0951-192X
2013 Impact Factor: 1.019
 
DOIhttp://dx.doi.org/10.1080/0951192X.2010.511657
 
ISI Accession Number IDWOS:000289716100005
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorHuang, S
 
dc.contributor.authorZeng, S
 
dc.contributor.authorFan, Y
 
dc.contributor.authorHuang, GQ
 
dc.date.accessioned2012-08-08T09:03:33Z
 
dc.date.available2012-08-08T09:03:33Z
 
dc.date.issued2011
 
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.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationInternational Journal Of Computer Integrated Manufacturing, 2011, v. 24 n. 5, p. 416-430 [How to Cite?]
DOI: http://dx.doi.org/10.1080/0951192X.2010.511657
 
dc.identifier.doihttp://dx.doi.org/10.1080/0951192X.2010.511657
 
dc.identifier.epage430
 
dc.identifier.isiWOS:000289716100005
 
dc.identifier.issn0951-192X
2013 Impact Factor: 1.019
 
dc.identifier.issue5
 
dc.identifier.scopuseid_2-s2.0-79957530486
 
dc.identifier.spage416
 
dc.identifier.urihttp://hdl.handle.net/10722/158838
 
dc.identifier.volume24
 
dc.languageeng
 
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/0951192X.asp
 
dc.publisher.placeUnited Kingdom
 
dc.relation.ispartofInternational Journal of Computer Integrated Manufacturing
 
dc.relation.referencesReferences in Scopus
 
dc.subjectPerformance Evaluation
 
dc.subjectService Composition
 
dc.subjectService Selection
 
dc.subjectService-Oriented Manufacturing
 
dc.titleOptimal service selection and composition for service-oriented manufacturing network
 
dc.typeConference_Paper
 
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Author Affiliations
  1. The University of Hong Kong
  2. Air Force Radar Academy
  3. Tsinghua University