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dc.contributor.authorDai, Hong-Ning
dc.contributor.authorWang, Hao
dc.contributor.authorXu, Guangquan
dc.contributor.authorWan, Jiafu
dc.contributor.authorImran, Muhammad
dc.date.accessioned2019-10-14T12:45:29Z
dc.date.available2019-10-14T12:45:29Z
dc.date.created2019-09-21T15:00:05Z
dc.date.issued2019
dc.identifier.citationEnterprise Information Systems. 2019, .nb_NO
dc.identifier.issn1751-7575
dc.identifier.urihttp://hdl.handle.net/11250/2622018
dc.description.abstractData analytics in massive manufacturing data can extract huge business values while can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data. This paper provides an overview on big data analytics in manufacturing Internet of Things (MIoT). This paper first starts with a discussion on necessities and challenges of big data analytics in manufacturing data of MIoT. Then, the enabling technologies of big data analytics of manufacturing data are surveyed and discussed. Moreover, this paper also outlines the future directions in this promising area.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francisnb_NO
dc.titleBig data analytics for manufacturing internet of things: opportunities, challenges and enabling technologiesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber25nb_NO
dc.source.journalEnterprise Information Systemsnb_NO
dc.identifier.doi10.1080/17517575.2019.1633689
dc.identifier.cristin1727472
dc.description.localcodeLocked until 24.6.2020 due to copyright restrictions. This is an [Accepted Manuscript] of an article published by Taylor & Francis in [Enterprise Information Systems] on [24 Jun 2019], available at https://doi.org/10.1080/17517575.2019.1633689nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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