How Big Data Transforms Manufacturing Industry: A Review Paper

How Big Data Transforms Manufacturing Industry: A Review Paper

Victor I. C. Chang (Xi'an Jiaotong-Liverpool University, Suzhou, China) and Wanxuan Lin (Xi'an Jiaotong-Liverpool University, Suzhou, China)
Copyright: © 2019 |Pages: 13
DOI: 10.4018/IJoSE.2019010104
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This article describes an overview of what Big Data is and explains how it transforms the manufacturing industry. First, this article defines what Big Data means for the manufacturing industry. It explains four advantages about Big Data analytics and their benefits to manufacturing. Then, it describes about what ethical issues of Big Data are. Next, it discusses more deeply about the ethical issues of Big Data in manufacturing with both individual and organizational perspectives. Finally, this article sums up with some principles to show the ethical governance of the interests of Big Data stakeholders.
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Big Data In Manufacturing Industry

Manufacturing is one of the main areas of Big Data applications and it can be described as a 5M system consisting of materials, machines, methods, measurements and modeling (Lee et al., 2013). Big Data provides a transparent infrastructure for manufacturing that addresses such uncertainties as inconsistent component performance and availability (Inukollu, 2014). One of the Big Data applications in manufacturing is predictive manufacturing and its conceptual framework starts with data collection, where it is possible to obtain different types of sensory data such as stress, vibration, acoustics, voltage, current, and controller data (Inukollu, 2014). These sensory data combine with historical data to form the Big Data for manufacturing.

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