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System Architecture for Enhancing Resiliency in Cyber-Physical Production Systems
 

System Architecture for Enhancing Resiliency in Cyber-Physical Production Systems

Manufacturing 2030: A Perspective to Future Challenges in Industrial Production: Proceedings of the 4th International Symposium on Industrial Engineering and Automation ISIEA 2025 and 18th EPIEM Conference 2025, Volume 1, Vol.1604, pp.117-127
Lecture Notes in Networks and Systems, 1604
ISIEA 2025 4th International Symposium on Industrial Engineering and Automation Manufacturing 2030: A Perspective to Future Challenges in Industrial Production (Bozen, 18/06/2025–20/06/2025)
2026
:
https://hdl.handle.net/10863/50531
Resilience Uncertainty Sustainable Manufacturing System Architecture Industry 5.0
Cyber-Physical Production Systems (CPPS) have emerged as key enablers of smart manufacturing, integrating intelligent sensing, decentralized production control, and adaptive decision-making to enhance efficiency and resilience. However, increasing the systems’ complexity level introduces dynamic uncertainties, time-dependent interactions, and unpredictable disruptions that create new challenges for existing automation strategies. While some literature proposed architectural frameworks for the resilient CPPS as a solution, they often lack a holistic integration of adaptive decision-making, predictive resilience mechanisms, and uncertainty management. This paper proposes a system architecture for resilient CPPS, incorporating real-time monitoring, uncertainty-informed design decisions, and resilience-oriented control to enhance adaptability and robustness. Additionally, this study explores technological alternatives for resilient CPPS development. The research findings contribute a structured system architecture for designing a resilient CPPS.

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url
https://doi.org/10.1007/978-3-032-03698-8_10
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