Cyber-Physical Systems in Smart Manufacturing
Summary
Cyber-physical systems (CPS) lie at the heart of the transition from traditional production lines to intelligent, networked manufacturing environments. By seamlessly integrating embedded sensors, actuators and real-time control algorithms with enterprise information systems, CPS enable continuous monitoring, adaptive control and autonomous decision-making. In smart manufacturing, these systems underpin predictive maintenance, dynamic scheduling and quality assurance through the creation of digital twins—virtual replicas of assets and processes that support simulation and optimisation. The convergence of CPS with advanced analytics, edge computing and cloud platforms fosters mass customisation, higher productivity and improved energy efficiency across sectors such as automotive, aerospace and pharmaceuticals. Practical applications include automated fault detection, real-time process adjustment and remote asset management. At the same time, ensuring interoperability among heterogeneous devices, safeguarding cyber-security and establishing common standards remain critical challenges. Workforce upskilling and the development of resilient architectures are likewise essential to unlock the full potential of CPS in globally distributed production networks.
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Cyber-Physical Systems in Smart Manufacturing publication trend
The graph below shows the total number of articles in cyber-physical systems in smart manufacturing across all publications each year (not limited to Nature Index journals).
Technical terms
Cyber-Physical System: Integration of computation, networking and physical processes enabling real-time monitoring and autonomous control.
Digital Twin: Virtual replica of a physical system used for simulation, analysis and process optimisation.
Internet of Things (IoT): Network of interconnected sensors and devices that collect and exchange data to support decision-making.
Predictive Maintenance: Approach that employs data analytics to anticipate equipment failures and schedule timely interventions.
Edge Computing: Distributed computing model in which data processing occurs close to the source to reduce latency and bandwidth usage.
References
- Internet of things for smart factories in industry 4.0, a review. Internet of Things and Cyber-Physical Systems (2023).
- Programming Methods for Industrial Robotics and Expanding Applications. Journal of Robotics Spectrum (2024).
- Implementing Smart Factory of Industrie 4.0: An Outlook. International Journal of Distributed Sensor Networks (2016).
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