Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies. Issue 9 (25th November 2020)

• Record Type: Journal Article
• Authors: Dai, Hong-Ning; Wang, Hao; Xu, Guangquan; Wan, Jiafu; Imran, Muhammad
• Is Part Of: Enterprise information systems. Volume 14:Issue 9/10(2020)
• Page Start: 1279
• Page End: 1303
• Publication Date: 2020-11-25
• Subjects: Smart manufacturing -- data analytics -- data mining -- internet of things; Information storage and retrieval systems -- Periodicals; Management information systems -- Periodicals; Electronic commerce -- Periodicals; 658.4038011
• DOI: 10.1080/17517575.2019.1633689
• Languages: English
• ISSNs: 1751-7575

Abstract

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.