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About

Petr Douda is a leading researcher in the digital transformation of manufacturing, with a core focus on Industry 4.0, Cyber-Physical Production Systems (CPPS), and distributed manufacturing execution. His most significant contribution is the development of a **Digital Twin-based Distributed Manufacturing Execution System (MES)** that integrates AI for on-the-fly replanning, enabling smart factories to achieve unprecedented modularity and reconfigurability. This work, his most cited paper with 36 citations, addresses the critical challenge of integrating industrial subsystems to support high flexibility. Douda also pioneered **PyAML**, a framework that enhances AutomationML by injecting Python code for advanced virtualization of CPPS, and **PyMES**, a distributed MES that interprets generic production plans—such as robotic actions—to dynamically adapt to product and resource changes. His research directly tackles the need for production systems to flexibly respond to varying products, processes, and resource availability. By bridging the gap between virtual models and real-time control, Douda’s work is foundational for the next generation of agile, AI-powered manufacturing environments.