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José Barbosa has a PhD in Automation and Computer Science from the University of Valenciennes and Hainaut-Cambrésis (France) and a MSc in Industrial Engineering at IPB. He is a senior researcher at Polytechnic Institute of Bragança, Portugal, participating in several European funded projects, namely in the EU FP7 ARUM, in the EU FP7 GRACE project and in the EU H2020 PERFoRM and GO0DMAN. He is also an invited professor at the Department of Electrical Engineering of the Polytechnic Institute of Bragança. José Barbosa has more than 35 papers published at international journals and proceedings of international conferences. His main research topics focus on the development of self-organizing and evolvable manufacturing control architectures following the holonic and multi-agent system paradigms enriched with biological inspired mechanisms, particularly applied into Cyber-Physical Systems and Internet of Things. He is also a senior member of the IEEE and member of the IEEE Technical Committee on Industrial Agents.





Empowering a Cyber-Physical System for a Modular Conveyor System with Self-organization

Barbosa, J; Leitao, P; Teixeira, J;

Studies in Computational Intelligence

The Industry 4.0 advent, advocating the digitalization and transformation of current production systems towards the factories of future, is introducing significant social and technological challenges. Cyber-physical systems (CPS) can be used to realize these Industry 4.0 compliant systems, integrating several emergent technologies, such as Internet of Things, big data, cloud computing and multi-agent systems. The paper analyses the advantages of using biological inspiration to empower CPS, and particularly those developed using distributed and intelligent paradigms such as multi-agent systems technology. For this purpose, the self-organization capability, as one of the main drivers in this industrial revolution is analysed, and the way to translate it to solve complex industrial engineering problems is discussed. Its applicability is illustrated by building a self-organized cyber-physical conveyor system composed by different individual modular and intelligent transfer modules. © 2018, Springer International Publishing AG.