International Journal of Engineering & Tech Development

E-ISSN: 3067-672X

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Volume 3 Issue 10
October 2026

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Cyber-Physical Systems for Intelligent Industrial Process Management

Author(s) Jonathan Miller
Country United States
Abstract Cyber-Physical Systems (CPS) have emerged as a significant technological foundation for intelligent industrial process management by integrating physical equipment, computational intelligence, communication networks, sensing technologies, and automated control. Modern industrial environments generate large volumes of operational data through interconnected machines, sensors, controllers, and production systems. Effective management of these processes requires the ability to continuously monitor physical operations, analyze data, identify deviations, and coordinate responsive actions. CPS provides an integrated framework in which computational models interact continuously with physical industrial processes. This paper examines the application of cyber-physical systems for intelligent industrial process management, focusing on system architecture, sensing, communication, edge computing, intelligent analytics, process optimization, and decision support. A conceptual methodology is developed to evaluate the interaction between physical production assets and computational management layers.
The analysis demonstrates that CPS can improve process visibility, operational responsiveness, resource coordination, and predictive decision-making by creating continuous feedback between physical and digital components. Edge computing can further improve responsiveness by enabling local processing of critical industrial data, while artificial intelligence can identify complex process patterns and support adaptive control. Nevertheless, practical CPS deployment faces challenges involving interoperability, cybersecurity, data quality, system complexity, communication reliability, computational requirements, and integration with legacy industrial infrastructure. The study identifies future research opportunities involving digital twins, explainable artificial intelligence, decentralized intelligence, autonomous process management, and secure industrial communication. CPS-based industrial management can therefore serve as an important pathway toward flexible, responsive, and data-driven manufacturing systems in increasingly connected industrial environments.
Keywords Cyber-Physical Systems, Industrial Process Management, Smart Manufacturing, Industrial Automation, Edge Computing, Intelligent Control, Industrial IoT, Digital Transformation
Field Engineering
Published In Volume 2, Issue 8, August 2025
Published On 2025-08-28
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E-ISSN: 3067-672X
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