dc.contributor.author | Dai, Hong-Ning | |
dc.contributor.author | Wang, Hao | |
dc.contributor.author | Xu, Guangquan | |
dc.contributor.author | Wan, Jiafu | |
dc.contributor.author | Imran, Muhammad | |
dc.date.accessioned | 2019-10-14T12:45:29Z | |
dc.date.available | 2019-10-14T12:45:29Z | |
dc.date.created | 2019-09-21T15:00:05Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Enterprise Information Systems. 2019, . | nb_NO |
dc.identifier.issn | 1751-7575 | |
dc.identifier.uri | http://hdl.handle.net/11250/2622018 | |
dc.description.abstract | Data 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.iso | eng | nb_NO |
dc.publisher | Taylor & Francis | nb_NO |
dc.title | Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 25 | nb_NO |
dc.source.journal | Enterprise Information Systems | nb_NO |
dc.identifier.doi | 10.1080/17517575.2019.1633689 | |
dc.identifier.cristin | 1727472 | |
dc.description.localcode | Locked 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/10.1080/17517575.2019.1633689 | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |