Abstract
with the maturity of Internet and an aggressive push towards Internet of Things (IoT) as well as Industry 4.0, data has become more accessible and ubiquitous; the era of Big Data has come. Big Data analytics in manufacturing aims to upgrade manufacturing sector into a smarter level. Managing, correlating and extracting useful information from the Big Data will greatly promote manufacturing intelligence. However, research work exploiting Big Data has mainly focused on the social networking domain rather than manufacturing. In this paper, the authors survey the Big Data background of modern manufacturing and introduce the most recently developed paradigms. The Big Data reference architecture for wisdom manufacturing (WM) is proposed, which is based on social-cyber-physical system (SCPS). WM is a humans-computers-things collaborative manufacturing system with human as top decision-makers, smart things as the basis, computers' data processing as the core, and services as the purpose. And the possible implementation of Big Data analytics in future manufacturing are investigated and summarized
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