Manufacturing big data ecosystem: A systematic literature review

Article

Cui, Yesheng, Kara, Sami and Chan, Ka C.. 2020. "Manufacturing big data ecosystem: A systematic literature review." Robotics and Computer Integrated Manufacturing. 62, pp. 1-20. https://doi.org/10.1016/j.rcim.2019.101861
Article Title

Manufacturing big data ecosystem: A systematic literature review

ERA Journal ID41932
Article CategoryArticle
AuthorsCui, Yesheng (Author), Kara, Sami (Author) and Chan, Ka C. (Author)
Journal TitleRobotics and Computer Integrated Manufacturing
Journal Citation62, pp. 1-20
Number of Pages20
Year2020
Place of PublicationUnited Kingdom
ISSN0736-5845
Digital Object Identifier (DOI)https://doi.org/10.1016/j.rcim.2019.101861
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0736584519300559#!
Abstract

Advanced manufacturing is one of the core national strategies in the US (AMP), Germany (Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber Physical System (CPS) and big data imperatively enable manufacturing to become smarter and more competitive among nations. Many researchers have proposed new solutions with big data enabling tools for manufacturing applications in three directions: product, production and business. Big data has been a fast changing research area with many new opportunities for applications in manufacturing. This paper presents a systematic literature review of the state-of-the-art of big data in manufacturing. Six key drivers of big data applications in manufacturing have been identified. The key drivers are system integration, data, prediction, sustainability, resource sharing and hardware. Based on the requirements of manufacturing, nine essential components of big data ecosystem are captured. They are data ingestion, storage, computing, analytics, visualization, management, workflow, infrastructure and security. Several research domains are identified that are driven by available capabilities of big data ecosystem. Five future directions of big data applications in manufacturing are presented from modelling and simulation to realtime big data analytics and cybersecurity.

KeywordsSmart manufacturing; Big data; Cloud computing; Cloud manufacturin; Internet of things; NoSQL
ANZSRC Field of Research 2020460599. Data management and data science not elsewhere classified
401402. CAD/CAM systems
400707. Manufacturing robotics
401403. Flexible manufacturing systems
461305. Data structures and algorithms
Public Notes

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Byline AffiliationsUniversity of New South Wales
School of Management and Enterprise
Institution of OriginUniversity of Southern Queensland
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