Semantic Scholar Open Access 2015 363 sitasi

Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation

Jay Lee H. D. Ardakani Shanhu Yang B. Bagheri

Lihat Sumber DOI

Abstrak

Abstract With the rapid advancement of Information and Communication Technologies (ICT) and the integration of advanced analytics into manufacturing, products and services, many industries are facing new opportunities and at the same time challenges of maintaining their competency and market needs. Such integration, which is called Cyber-physical Systems (CPS), is transforming the industry into the next level. CPS facilitates the systematic transformation of massive data into information, which makes the invisible patterns of degradations and inefficiencies visible and yields to optimal decision-making. This paper focuses on existing trends in the development of industrial big data analytics and CPS. Then it briefly discusses a systematic architecture for applying CPS in manufacturing called 5C. The 5C architecture includes necessary steps to fully integrate cyber-physical systems in the manufacturing industry. Finally, a case study for designing smart machines through the 5C CPS architecture is presented.

Topik & Kata Kunci

Engineering

Penulis (4)

Jay Lee

H. D. Ardakani

Shanhu Yang

B. Bagheri

Format Sitasi

APA MLA BibTeX

Lee, J., Ardakani, H.D., Yang, S., Bagheri, B. (2015). Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation. https://doi.org/10.1016/J.PROCIR.2015.08.026

Akses Cepat

Lihat di Sumber doi.org/10.1016/J.PROCIR.2015.08.026

Informasi Jurnal

Tahun Terbit: 2015
Bahasa: en
Total Sitasi: 363×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.PROCIR.2015.08.026
Akses: Open Access ✓