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Conference Paper: Facilities collaboration in cloud manufacturing based on generalized collaboration network

TitleFacilities collaboration in cloud manufacturing based on generalized collaboration network
Authors
KeywordsScheduling
Social collaboration network
Complex networks
Degree distribution
Clique
Cloud manufacturing
Issue Date2015
Citation
Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015, 2015, p. 298-303 How to Cite?
Abstract© 2015 ICST. In cloud manufacturing for regional industrial cluster, there is increasing necessity of collaboration among enterprises or facilities. It is valuable to explore the characteristics of these collaboration behaviors for effectively scheduling dispersed manufacturing facilities and organizing their collaboration. The collaborative relation of manufacturing in regional industrial cluster can be described as a generalized social collaboration network. In this paper, we introduce the relevant entities and relations of facilities collaboration, and propose the method for building Facility Collaboration Network (FCN). We further design the dynamically growing process of FCN for different facility selection strategies, including random selection, balanced selection, random selection with preference and balanced selection with preference. Based on the metrics such as network scale, node degree distribution, act degree distribution, average shortest distance and number of cliques, we present the statistical characteristics of FCN, and analyze relevant characteristics and laws for efficient facilities selection in cloud manufacturing.
Persistent Identifierhttp://hdl.handle.net/10722/281445
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, Wenxiang-
dc.contributor.authorZhu, Chunsheng-
dc.contributor.authorNgai, Edith C.H.-
dc.contributor.authorYang, Laurence T.-
dc.contributor.authorShu, Lei-
dc.contributor.authorSheng, Yuxia-
dc.date.accessioned2020-03-13T10:37:53Z-
dc.date.available2020-03-13T10:37:53Z-
dc.date.issued2015-
dc.identifier.citationProceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015, 2015, p. 298-303-
dc.identifier.urihttp://hdl.handle.net/10722/281445-
dc.description.abstract© 2015 ICST. In cloud manufacturing for regional industrial cluster, there is increasing necessity of collaboration among enterprises or facilities. It is valuable to explore the characteristics of these collaboration behaviors for effectively scheduling dispersed manufacturing facilities and organizing their collaboration. The collaborative relation of manufacturing in regional industrial cluster can be described as a generalized social collaboration network. In this paper, we introduce the relevant entities and relations of facilities collaboration, and propose the method for building Facility Collaboration Network (FCN). We further design the dynamically growing process of FCN for different facility selection strategies, including random selection, balanced selection, random selection with preference and balanced selection with preference. Based on the metrics such as network scale, node degree distribution, act degree distribution, average shortest distance and number of cliques, we present the statistical characteristics of FCN, and analyze relevant characteristics and laws for efficient facilities selection in cloud manufacturing.-
dc.languageeng-
dc.relation.ispartofProceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015-
dc.subjectScheduling-
dc.subjectSocial collaboration network-
dc.subjectComplex networks-
dc.subjectDegree distribution-
dc.subjectClique-
dc.subjectCloud manufacturing-
dc.titleFacilities collaboration in cloud manufacturing based on generalized collaboration network-
dc.typeConference_Paper-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.4108/eai.19-8-2015.2260439-
dc.identifier.scopuseid_2-s2.0-84962406619-
dc.identifier.spage298-
dc.identifier.epage303-
dc.identifier.isiWOS:000380570900053-

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