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

File Download Links for fulltext
(May Require Subscription)
Supplementary

  • Basic View
  • Metadata View
  • XML View
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
2011 Impact Factor: 1.071
2011 SCImago Journal Rankings: 0.039
DOIhttp://dx.doi.org/10.1080/0951192X.2010.511657
ReferencesReferences in Scopus
DC Field
Value
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
2011 Impact Factor: 1.071
2011 SCImago Journal Rankings: 0.039
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
Author Affiliations
  1. The University of Hong Kong
  2. Air Force Radar Academy
  3. Tsinghua University