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Article: Sustainability Assessment of Intelligent Manufacturing Supported by Digital Twin

TitleSustainability Assessment of Intelligent Manufacturing Supported by Digital Twin
Authors
Issue Date2020
Citation
IEEE Access, 2020, v. 8, p. 174988-175008 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/289715

 

DC FieldValueLanguage
dc.contributor.authorLi, LH-
dc.contributor.authorQu, T-
dc.contributor.authorLiu, Y-
dc.contributor.authorZhong, R-
dc.contributor.authorXU, GY-
dc.contributor.authorSUN, HX-
dc.contributor.authorGAO, Y-
dc.contributor.authorLEI, BB-
dc.contributor.authorMAO, CL-
dc.contributor.authorPAN, YH-
dc.contributor.authorWANG, FW-
dc.contributor.authorMA, C-
dc.date.accessioned2020-10-22T08:16:26Z-
dc.date.available2020-10-22T08:16:26Z-
dc.date.issued2020-
dc.identifier.citationIEEE Access, 2020, v. 8, p. 174988-175008-
dc.identifier.urihttp://hdl.handle.net/10722/289715-
dc.languageeng-
dc.relation.ispartofIEEE Access-
dc.titleSustainability Assessment of Intelligent Manufacturing Supported by Digital Twin-
dc.typeArticle-
dc.identifier.emailZhong, R: zhongzry@hku.hk-
dc.identifier.authorityZhong, R=rp02116-
dc.identifier.doi10.1109/ACCESS.2020.3026541-
dc.identifier.hkuros315858-
dc.identifier.volume8-
dc.identifier.spage174988-
dc.identifier.epage175008-

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