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 Fracture mechanics based assessment of manufacturing defects laying at the edge of CFRP-metal bondlines Result title Fracture mechanics based assessment of manufacturing defects laying at the edge of CFRP-metal bondlines
 RP 3.6 Services for continuous evaluation and mitigation of manufacturing risks Taxon description Furthermore, tools to model KRI (Key Risk Indicators) and rendering these (through push notifications) on mobile devices of decision makers through dedicated mobile computing infrastructure are required
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Description To do that we have brought together a total of thirteen (13) EU-based partners, representing both industry and academia, having ample experience in cutting-edge technologies and active presence in the
Comments Also there is Wi - Fi connection for integration the various components and their updates on premises or on cloud during the integration process of the system.
 Z-Fact0r middleware platform and components Result description The integration of the middleware with the multi sensor/actuator cloud will be achieved through the Device Managers which will allow an interoperable communication mechanism based on standardized protocols
 Service model Taxon description computing models: Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS).
 Connectivity & network interoperability – communication protocols Comments Also there is Wi - Fi connection for integration the various components and their updates on premises or on cloud during the integration process of the system.
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Description Industrial Robotics is the strategic technology needed to keep the European Manufacturing leading edge, unfortunately it is intrinsically energy intensive, and its massive adoption compromises factories
Comments engineering and manufacturing from product to production lines, factories, and networks MIE Consultation 2020 (Closed) Specific Objective 2: Circular products & Climate-neutral manufacturing On-the-cloud
 RP 3.4 Energy monitoring and management in future manufacturing enterprises Taxon description Future distributed computing deployments, such as the cloud, should be leveraged to upload enterprise-specific energy consumption information for obtaining compliance certificates from regulatory bodies
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Description REEMAIN combines cutting edge knowledge and experience from production processes, professional energy simulation, energy and resource planning, and renewable energy and storage to develop and demonstrate
 RP 3.4 Energy monitoring and management in future manufacturing enterprises Taxon description Future distributed computing deployments, such as the cloud, should be leveraged to upload enterprise-specific energy consumption information for obtaining compliance certificates from regulatory bodies
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Description To do that we have brought together a total of seventeen (17) EU-based partners, representing both industry and academia, having ample experience in cutting-edge technologies and active presence in the
Comments It allows information interconnection from different data sources, and furthermore, the architecture proposed by AUTOWARE provides the ability to establish data processing and computing at the most appropriate
 IoT - Internet of Things Taxon description The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability
 Data processing Comments It allows information interconnection from different data sources, and furthermore, the architecture proposed by AUTOWARE provides the ability to establish data processing and computing at the most appropriate
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Description Enhanced process monitoring, optimization and control is achieved by intelligent use digital twin technology, Industrial IoT, Cloud Manufacturing (CMfg), collaborative robotics and Industrial AI.
 Multi-cloud environment for product security information sharing (Automotive Manufacturing UC) Result title Multi-cloud environment for product security information sharing (Automotive Manufacturing UC) Result description The use case will be built on the multi-cloud concept to enhance the management and distribution of cryptographic keys in Automotive manufacturing.
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Comments b) Identifying and understanding the needs, behaviors and demands of consumers, makers and manufacturers through data collation via cloud-based tools.
 Service model Taxon description computing models: Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS).
 R&I Objective 4.5: Technology validation and migration paths towards industrial deployment of advanced manufacturing technologies by SMEs Comments b) Identifying and understanding the needs, behaviors and demands of consumers, makers and manufacturers through data collation via cloud-based tools.
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Description The objective of PREVIEW is to develop a Cyber Physical System (CPS) for plastic injection manufacturing processes monitoring, control and optimization, by incorporating several innovative and cutting edge
Comments Perception & Awareness on Manufacturing FoF Partnership SRIA Research priorities Sub-Domain 2.2 Dynamic Production systems and Factories Domain 2: Adaptive and smart manufacturing systems RP 2.13 M2M cloud
 RP 2.13 M2M cloud connectivity for future manufacturing enterprises Taxon title RP 2.13 M2M cloud connectivity for future manufacturing enterprises
 RP 3.7 On-demand modular and replicative models for faster factory initialisation Taxon description In order to render these complex ontology based replicative factory models, state of the art in high-performance computing in the cloud should be leveraged for the benefit of SMEs and large enterprises
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 Definition of the cloud-based cyber-physical production system architecture Result title Definition of the cloud-based cyber-physical production system architecture
 Implementation of the AVANGARD cloudbased platform Result description Develop and deliver a cloud-based platform capable of: • Integrate and interoperate the different hardware and software inside the factory; • Allow the pluggability of new stations during the execution
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Description The i4Q Framework will guarantee data reliability with functions grouped into five basic capabilities around the data cycle: sensing, communication, computing infrastructure, storage, and analysis and
 Digital Twin for Supply Chain Master Planning in Zero-Defect Manufacturing. Result description ., & Poler, R.Journal title: Doctoral Conference on Computing, Electrical and Industrial SystemsJournal publisher: SpringerPublished year: 2021