Manufacturing big data ecosystem: A systematic literature review

Cui, Yesheng and Kara, Sami and Chan, Ka C. (2020) Manufacturing big data ecosystem: A systematic literature review. Robotics and Computer-Integrated Manufacturing, 62. pp. 1-20. ISSN 0736-5845

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Manufacturing big data ecosystem A Systematic literature review_2ndresubmit_v2.pdf
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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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted Version embargoed until April 2021.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 July 2013 -)
Date Deposited: 21 Jan 2020 01:22
Last Modified: 08 May 2020 02:27
Uncontrolled Keywords: Smart manufacturing; Big data; Cloud computing; Cloud manufacturin; Internet of things; NoSQL
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080604 Database Management
09 Engineering > 0910 Manufacturing Engineering > 091001 CAD/CAM Systems
09 Engineering > 0910 Manufacturing Engineering > 091007 Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics)
09 Engineering > 0910 Manufacturing Engineering > 091002 Flexible Manufacturing Systems
08 Information and Computing Sciences > 0804 Data Format > 080403 Data Structures
Socio-Economic Objective: B Economic Development > 86 Manufacturing > 8699 Other Manufacturing > 869999 Manufacturing not elsewhere classified
B Economic Development > 89 Information and Communication Services > 8902 Computer Software and Services > 890299 Computer Software and Services not elsewhere classified
Identification Number or DOI: https://doi.org/10.1016/j.rcim.2019.101861
URI: http://eprints.usq.edu.au/id/eprint/37173

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