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      Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies

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          Abstract

          The recent advances in information and communication technology (ICT) have promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. 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.

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              Deep learning for smart manufacturing: Methods and applications

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                Author and article information

                Journal
                01 September 2019
                Article
                10.1080/17517575.2019.1633689
                1909.00413
                c8485d3f-5f26-4c8f-87b0-991889ad4651

                http://creativecommons.org/licenses/by-nc-sa/4.0/

                History
                Custom metadata
                Enterprise Information Systems, 2019
                14 pages, 6 figures, 3 tables
                cs.CY cs.AI cs.LG cs.NI

                Applied computer science,Networking & Internet architecture,Artificial intelligence

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