4.7 Review

Big data analytics for intelligent manufacturing systems: A review

Journal

JOURNAL OF MANUFACTURING SYSTEMS
Volume 62, Issue -, Pages 738-752

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jmsy.2021.03.005

Keywords

Big data analytics (BDA); Intelligent manufacturing; Artificial intelligence; Manufacturing systems

Funding

  1. National Natural Science Foun-dation of China [51905091]
  2. Shanghai Sailing Program [19YF1401500]
  3. Shanghai Science and Technology Planning Project [20DZ2251400]

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This paper provides a comprehensive review of big data analytics (BDA) for intelligent manufacturing systems, covering the concepts, methodologies, and applications. BDA has shown great potential in improving the efficiency and outcomes of product design, manufacturing, and maintenance. However, there are still challenges and opportunities that need further research and exploration.
With the development of Internet of Things (IoT), 5 G, and cloud computing technologies, the amount of data from manufacturing systems has been increasing rapidly. With massive industrial data, achievements beyond expectations have been made in the product design, manufacturing, and maintain process. Big data analytics (BDA) have been a core technology to empower intelligent manufacturing systems. In order to fully report BDA for intelligent manufacturing systems, this paper provides a comprehensive review of associated topics such as the concept of big data, model driven and data driven methodologies. The framework, development, key technologies, and applications of BDA for intelligent manufacturing systems are discussed. The challenges and opportunities for future research are highlighted. Through this work, it is hoped to spark new ideas in the effort to realize the BDA for intelligent manufacturing systems.

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