Big Data in Cyber-Physical Systems, Digital Manufacturing and Industry 4.0

A cyber physical system (CPS) is a complex system that integrates computation, communication, and physical processes. Digital manufacturing is a method of using computers and related technologies to control an entire production process. Industry 4.0 can make manufacturing more efficient, flexible, and sustainable through communication and intelligence; therefore, it can increase the competitiveness. Key technologies such as the Internet of Things, cloud computing, machine-to-machine (M2M) communications, 3D printing, and Big Data have great impacts on Industry 4.0. Big Data analytics is very important for cyber-physical systems (CPSs), digital manufacturing, and Industry 4.0. This paper introduces technology progresses in CPS, digital manufacturing, and Industry 4.0. Some challenges and future research topics in these areas are also presented.

[1]  Jay Lee,et al.  Recent advances and trends in predictive manufacturing systems in big data environment , 2013 .

[2]  Stefan Wesner,et al.  An Approach for a Cloud-based Machine Tool Control , 2013 .

[3]  Alexandre M. Bayen,et al.  Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces , 2012, ArXiv.

[4]  Jay Lee,et al.  Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation , 2015 .

[5]  Jay Lee,et al.  A Cyber Physical Interface for Automation Systems—Methodology and Examples , 2015 .

[6]  Frank Schönthaler,et al.  Design and Governance of Collaborative Business Processes in Industry 4.0 , 2015 .

[7]  Kagermann Henning Recommendations for implementing the strategic initiative INDUSTRIE 4.0 , 2013 .

[8]  Ishwar Singh,et al.  TEACHING NETWORK TECHNOLOGIES THAT SUPPORT INDUSTRY 4.0 , 2015 .

[9]  Reiner Anderl,et al.  Industrie 4.0 - Advanced Engineering of Smart Products and Smart Production , 2014 .

[10]  MaryAnne M. Gobble,et al.  News and Analysis of the Global Innovation Scene , 2018, Research-Technology Management.

[11]  Mateo Valero,et al.  New Benchmarking Methodology and Programming Model for Big Data Processing , 2015, Int. J. Distributed Sens. Networks.

[12]  Johannes Scholz,et al.  Geographic Information Science and technology as key approach to unveil the potential of Industry 4.0: How location and time can support smart manufacturing , 2015, 2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO).

[13]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios: A Literature Review , 2015 .

[14]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[15]  André Stork,et al.  Visual Computing Challenges of Advanced Manufacturing and Industrie 4.0 [Guest editors' introduction] , 2015, IEEE Computer Graphics and Applications.