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Description devices to share data in a common format.
Comments storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies System modelling - digital twins
 FoF-EMon Result description Data acquisition for higher monitoring systems, e.g. MES.
 ICT solutions for next generation data storage and information mining Taxon title ICT solutions for next generation data storage and information mining
 RP 2.10 Adaptive Process Automation and Control for a sensing shop floor Taxon description These systems should include software capable of monitoring KPIs and lifecycle parameters as well as data processing and data-mining technologies capable of extracting the knowledge and model of machine
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Comments products Customised products Manufacturing future products Manufacturing the products of the future Information and communication technologies Technologies and enablers Digital manufacturing platforms - data
 Cloud-based GloNet platform Result description with external systems (data interoperabil-ity).
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.
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 RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration Taxon description An MBW deployment would open up possibilities to exploit the distributed infrastructure using the IaaS paradigm for performing high-performance simulation, forecasting, and analytics operations.
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Description Data mining in combination with OLAP can support problems with diagnosis and resolution.
Comments storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies Domain 2: Adaptive and smart manufacturing
 Production Optimisation Data and Charters Result title Production Optimisation Data and Charters
 Optimizing Queries and Expressiveness Result description Therefore, the prediction is developed and trained by some given data. In combination with the prediction model the features can predict if processing data are abnormal or normal. 2.
 ICT solutions for next generation data storage and information mining Taxon title ICT solutions for next generation data storage and information mining
 Domain 3: Digital, virtual and resource-efficient factories Taxon description granularity, zoom in and out functionalities, and real-time data acquisition from all the factory resources (i.e. assets, machines, workers and objects).
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 IMAGINE Dynamic Manufacturing Network Platform Result description The aforementioned functionalities use the ESPER event processing engine and a scalable machine learning and data mining framework to identify and forecast potential situation of interest.
 RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration Taxon description An MBW deployment would open up possibilities to exploit the distributed infrastructure using the IaaS paradigm for performing high-performance simulation, forecasting, and analytics operations.
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Description The information gap is the result of the lack of data on product usage and its lifecycle.
Comments applications in a network of remanufacturing stakeholders FoF Partnership SRIA Research priorities Domain 4: Collaborative and mobile enterprises RP 4.5 Complex Event Processing (CEP) for state detection and analytics
 RP 4.5 Complex Event Processing (CEP) for state detection and analytics in supply networks Taxon title RP 4.5 Complex Event Processing (CEP) for state detection and analytics in supply networks Taxon description Furthermore, this Research Priority will open up business opportunities for SMEs to configure and sell analytics services on large enterprise data through the Manufacturing App Store.
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Comments 3.1 Integrated factory models for evolvable manufacturing systems FoF Partnership SRIA Research priorities Domain 3: Digital, virtual and resource-efficient factories RP 3.5 Multi-level simulation and analytics
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon title RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.
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Description Sustainability Cockpit’ (PLANTCockpit) research project aims to incorporate existing enterprise resource planning systems, as well as MES (Manufacturing Execution Systems), SCADA (Supervisory Control and Data
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.

ARUM | Adaptive Production Management

01-09-2012

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30-09-2015

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Comments Energy monitoring and management in future manufacturing enterprises FoF Partnership SRIA Research priorities Domain 3: Digital, virtual and resource-efficient factories RP 3.5 Multi-level simulation and analytics
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon title RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.
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 Life Data Processing Framework Result title Life Data Processing Framework
 Virtual Sensors ANN Result description To that end, the ANN object infers "virtual sensors" state from data from real sensors.
 Remote data monitoring Result acronym Remote data monitoring
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.
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Description The metaphor employed is ‘to start with an new business idea in the morning and have all required data and networks understood by the afternoon’ To achieve this FLEXINET takes the view that new product-service
 RP 2.13 M2M cloud connectivity for future manufacturing enterprises Taxon description would make consumption and processing of device data faster and more efficient.
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Description The integration of sensor data allows for products to be members of the collaboration space.
Comments , field data,...)
 Relating machine and business data for added business value Result title Relating machine and business data for added business value
 Cycle-time validation support for engineers for accelerated on-site plant commissioning operations Result description Data-based harmonization approach for distributed data sources (refer to result #1).
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration Taxon description An MBW deployment would open up possibilities to exploit the distributed infrastructure using the IaaS paradigm for performing high-performance simulation, forecasting, and analytics operations.
 Collaborative and decentralized application architectures and development tools Comments , field data,...)
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Description All of the available systems though are able to cover only a portion of the production, requiring exchange of data between different systems and thus making the overall optimization of the plant operation
Comments Energy monitoring and management in future manufacturing enterprises FoF Partnership SRIA Research priorities Domain 3: Digital, virtual and resource-efficient factories RP 3.5 Multi-level simulation and analytics
 Green Assessment Method Result description inconsistency of energy consumption data may lead to unrealistic results and conclusions.
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon title RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.
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Comments storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies Standards Standards and standardisation
 Improvement on µ-injection process Result description Thanks to this system, it is possible to automatically link the process data with the obtained part quality for the generation of an extensive manufacturing data log for its later treatment.
 ICT solutions for next generation data storage and information mining Taxon title ICT solutions for next generation data storage and information mining
 RP 1.1 Manufacturing for custom made parts Taxon description Research should also address the need for seamless data integration across the process chain (e.g. CAD, production planning, simulation and process).
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Comments , analytics, processing and AI Information and communication technologies With the introduction of 100% inline measurement of many sensors, data mining was an important topic within the MEGaFiT project
 ICT solutions for next generation data storage and information mining Taxon title ICT solutions for next generation data storage and information mining
 RP 6.9 On-demand manufacturing of customer-centric products Taxon description Design tools should identify and transfer key consumer requirements and collected data from suppliers into automated process routines.
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Comments symbiosis’) Manufacturing performance characteristics Circular economy Environmental sustainability Information and communication technologies Technologies and enablers Digital manufacturing platforms - data
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration Taxon description An MBW deployment would open up possibilities to exploit the distributed infrastructure using the IaaS paradigm for performing high-performance simulation, forecasting, and analytics operations.
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Description It will provide facilities for joint specification management, shop-floor data transfer, high level of traceability and distributed quality management.
 RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration Taxon description An MBW deployment would open up possibilities to exploit the distributed infrastructure using the IaaS paradigm for performing high-performance simulation, forecasting, and analytics operations.
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Description Reuse of product and process data is a promising approach to leverage virtual simulation of manual manufacturing processes.
Comments storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies Digital manufacturing platforms
 Data Import, Filter and Mapping Result title Data Import, Filter and Mapping Result description The first is covered under the term structural data and the latter under the term geometry data in Fig. 1. Result acronym Data Import, Filter and Mapping
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 RP 5.8 Enhanced Visualisation of complex Manufacturing and Production data Taxon description Aspects of data mining and data management have to be considered in the context of this process.
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Description investigated how the isogeometric concepts can actually be introduced on a large scale, starting from the interoperability of typical CAD-models and new isogeometric CAD-models all the way to product data
Comments geometries and scale Domain 1: Advanced manufacturing processes Domain 3: Digital, virtual and resource-efficient factories FoF Partnership SRIA Research priorities RP 3.5 Multi-level simulation and analytics
 Ecosystem of software tools for IsogeoemtricRepresetnation and Analysis Result description Jotne's Express Data Manager is used as the STEP reader/writer of GoTools and thus a vital component for interoperability in TERRIFIC.
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon title RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.
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Description convenient periods and avoid unexpected breakdowns Operation: Managing energy as a production resource and reduce its consumption Product reliability: Providing the machine tool builder with real data
 Continuous Data recording of internal and external data in the FAGOR CNC Result title Continuous Data recording of internal and external data in the FAGOR CNC Result acronym Data logger (FAGOR CNC)
 KASEM platform and Knowledge Model for Machine-Tool Result description For the second group of data, KASEM acquires data from the working conditions of the machines.
 Fleet-wide monitoring and management services for Machine Tool Result description For the second group of data, KASEM acquires data from the working conditions of the machines.
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.
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Description . - In many cases information infrastructure fails to successfully aggregate and manage data from factory-wide sensor networks as well as from various data sources such as MES or ERP, analyse such data
Comments ICT solutions for next generation data storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies
 Operator Support Result description This information consists by historical data from similar breakdowns as well as current data from applicable sensors.
 ICT solutions for next generation data storage and information mining Taxon title ICT solutions for next generation data storage and information mining
 Domain 5: Human-centric manufacturing Taxon description At the core of future manufacturing is the information generated in the factory environment, which needs to be managed and adequately transformed from the data level to the knowledge level.
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Description fusion (vibrations, acoustic emission, motor current, torque,); -Off line data mining and self-learning failure mode pattern; -Automated loop for monitoring optimal machine stabilization; -Dynamically
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.
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Comments Novel DC powered robot end effectors and manufacturing tools R&I Objective 1.6: Data ‘highways’ and data spaces in support of smart factories in dynamic value networks MIE Consultation 2020 (Closed
 Single and Multi-Robot Energy Consumption simulation Result description Results show a significant agreement with experimental data on the real robot.
 RP 2.10 Adaptive Process Automation and Control for a sensing shop floor Taxon description These systems should include software capable of monitoring KPIs and lifecycle parameters as well as data processing and data-mining technologies capable of extracting the knowledge and model of machine
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Description Sensorial data will be communicated to smart phones via Bluetooth or Wifi.
Comments Manufacturing future products Manufacturing the products of the future IoT - Internet of Things Technologies and enablers Information and communication technologies Digital manufacturing platforms - data
 Collaborative LAB for META-Product Development Result description The public area is intended for end-users and experts which use the products and upload usage data to the cloud.
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration Taxon description An MBW deployment would open up possibilities to exploit the distributed infrastructure using the IaaS paradigm for performing high-performance simulation, forecasting, and analytics operations.
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Comments geometries and scale Domain 1: Advanced manufacturing processes Domain 3: Digital, virtual and resource-efficient factories FoF Partnership SRIA Research priorities RP 3.5 Multi-level simulation and analytics
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon title RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.