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Titlebook: Service Orientation in Holonic and Multi-Agent Manufacturing; Proceedings of SOHOM Theodor Borangiu,Damien Trentesaux,José Barata‘Oli Confe

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Data Mining of Energy Consumption in Manufacturing Environmentrsonalized products combined with the recent evolution of information technologies, brought to the manufacturing world the integration of new solutions previously unimaginable in a production environment. Hence, in the last years manufacturing systems were changing and nowadays each component presen
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Cybersecurity and Resilience Modelling for Software-Defined Networks-Based Manufacturing Applicationind. In the recent decade or so, that approach seems not to be adequate anymore. The current manufacturing global operations ask for more stringent requirements than ever before, which include privacy and security of transactions, among others. Manufacturing control is not new, but the use of cloud
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High Availability Cloud Manufacturing System Integrating Distributed MES Agentsling of order execution in case of resource failure or rush order occurrence) and for hosting the web interface for: remote cell monitoring, reception of client requests, cell configuration, raw material inventory and reports generation. Implementation and experimental results are reported.
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Formal Modelling of Distributed Automation CPS with CP-Agnostic Softwareted in both simulation within IEC 61499 execution environment and in counter-examples extracted from nuXmv. The methodology presented in this paper creates the premise for automatic verification of the cyber-physical agnosticism of systems.
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Data Mining of Energy Consumption in Manufacturing Environmenthis data generated from a production cell in the automotive industry and reduce the energy consumption. Firstly, it is described how the information is extracted and how the data clustering is done, then the data mining process and management are presented, together with the obtained results.
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Gap Analysis on Research and Innovation for Cyber-Physical Systems in Manufacturingrocesses, external factors and social/economical influences, it is important to address only the main issues to achieve the result. This paper is aiming to illustrate the results of the Gap Analysis activities carried out in the sCorPiuS (.) project.
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Smart Condition Based Maintenance (S-CBM) for a Fleet of Mobile Entitiescle proposes a hybrid cooperative architecture for the monitoring of mobile entities. This architecture increases on-board diagnostic capabilities and optimizes the overall maintenance of a fleet of mobile entities.
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