Big Data for Cyber-Physical Systems in Industry (BDCPSI)

Thematic/Special Issue on

Big Data for Cyber-Physical Systems in Industry 4.0

With the technology development in cyber-physical systems and big data, there is huge potential to apply them to achieve personalization and improve resource efficiency in Industry 4.0. As Industry 4.0 is a relatively new concept that originated from an advanced manufacturing vision supported by the German government in 2011, there are much fewer surveys related to the intersection between cyber-physical systems and big data in Industry 4.0. However, cyber-physical systems are closely related to big data in nature and will continuously generate a large amount of data which requires big data techniques to process and help to improve system scalability, security, and efficiency.

In general, there are two main functional components, system infrastructures, and data analytics, to handle big data issues of the CPS in Industry 4.0. System
infrastructures oversee connectivity to ensure real-time communication between facilities and cyber devices, while data analytics focus on improving product personalization and resource efficiency in Industry 4.0. In addition, several important issues of the CPS in Industry 4.0, such as adaptive, security, and resiliency, are related to both system infrastructures and data analytics.

As the CPS in Industry 4.0 involves trillions of physical facilities controlled by
computing devices to collaboratively work together, the critical dimensions for a
successful CPS include scalability, security, resiliency, and efficiency. With the huge amount of data generated in the CPS with a large number of heterogeneous devices, big data techniques are expected to play an important role to make the CPS work properly. Cyber-physical systems are the fundamental infrastructure in industry 4.0, while big data is the critical component to efficiently and effectively dealing with data generated from cyber-physical systems. However, since we are still in the preliminary stage of Industry 4.0, there are some typical limitations for the current.
For the relatively new concept of industry 4.0, there are only several existing surveys on either its cyber-physical system aspect or its big data aspect, and missing the interaction among these two aspects.

Therefore, this special issue tries to bring more attention to this critical intersection. In this issue, the detailed methods in both cyber-physical systems and big data will be explored to help readers understand their role in industry 4.0. We seek high-quality contributions summarizing the existing work and highlighting the future research direction for this intersection to achieve full autonomy in Industry 4.0.

Topics of interest include, but are not limited to:
System infrastructures for security, resiliency, and reliability
Data analytics for self-aware and self-maintained capabilities
Industrial automation based on cyber-physical systems technologies
Big Data and virtualization for manufacturing cyber-physical systems
Cyber-physical Systems for machine health maintenance
Self-optimization strategies for CPS in Industry 4.0

Cyber-physical systems architectures for industrial IoT applications in Industry 4.0
Digital twins and cyber-physical systems in Industry 4.0

Guest editors:
Zhenfeng Liu, Shanghai Maritime University, China
Arcangelo Castiglione, University of Salerno, Italy
Rajiv Ranjan, Birsa Institute of Technology, India

publication fee:
Please be kindly advised that a flat publication fee of €250 should be applied to any accept paper of the special issue.