Semantic Scholar Open Access 2021 467 sitasi

Big data analytics for intelligent manufacturing systems: A review

Junliang Wang Chuqiao Xu Jie Zhang Ray Y. Zhong

Abstrak

Abstract 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.

Topik & Kata Kunci

Computer Science

Penulis (4)

Junliang Wang

Chuqiao Xu

Jie Zhang

Ray Y. Zhong

Format Sitasi

APA MLA BibTeX

Wang, J., Xu, C., Zhang, J., Zhong, R.Y. (2021). Big data analytics for intelligent manufacturing systems: A review. https://doi.org/10.1016/J.JMSY.2021.03.005

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Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Total Sitasi: 467×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.JMSY.2021.03.005
Akses: Open Access ✓