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Showing 10 out of 13
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Title Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation
Description Data across the (multi-sided) company internal value chain is integrated by the IIMS with optimisation and modelling tools for resource management including innovative, multi-level, real-time
Comments The Digital Factory Model (DFM) will provide an integrated representation of the intra-factory domain at machine-level, end-user-level, and process-level.
 Process Modelling Representation and Monitoring Framework Result title Process Modelling Representation and Monitoring Framework
 Interoperability for M2M & HMI in factory environments I Result description The machine to machine communication protocols that are used in manufacturing are described in detail.
 Interoperability for M2M & HMI in factory environments II Result description The machine to machine communication protocols that are used in manufacturing are described in detail.
 Digital Factory Model II Result comments , sensors, buildings and process modellinghas been conducted.
 Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
 Condition and performance monitoring technologies Taxon description Continuous monitoring of the condition and performance of the manufacturing system on component and machine level, enables sustainable and competive manufacturing, also by introducing autonomous diagnosis
 IoT - Internet of Things Comments The Digital Factory Model (DFM) will provide an integrated representation of the intra-factory domain at machine-level, end-user-level, and process-level.
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Description Comau is an integrated company, including 20 subsidiaries, which develops and produces process automation, manufacturing and service products and specializes in welding robots Systems Sunlight S.A.,
Comments Optimization on the assembly line Optimization on security level and safety monitoring Applicable, real time analysis in received data from the production line.
 Online Intelligent Decision Support for Workers/Technicians at Continuous Process Systems Result title Online Intelligent Decision Support for Workers/Technicians at Continuous Process Systems
 DELIVERABLE D1.1 - User group definitions, end-user needs, requirement analysis and development guidelines Result description This deliverable describes the requirements of the prototype applications for the three end-users test-beds: discrete manufacturing in automotive, discrete manufacturing for batteries and continuous process Result comments Manufacturing
 iDSS-Decision Support System for Incident Detection and Maintenance in Industries Result comments Manufacturing
 Industry Oriented Gamification Tools Result comments Manufacturing
 Human Resources Workload Balancing Toolkit Result comments Manufacturing
 Augmented Reality Glasses Result comments Manufacturing
 "On-the-job" Training and Educational Platform Result comments Manufacturing
 INDUSTRIAL PILOT DEMONSTRATOR 1- CERTH/CPERI – Chemical Process & Energy Resources Institute Result comments Manufacturing
 INDUSTRIAL PILOT DEMONSTRATOR 2 - SUNLIGHT – Battery Construction Industry Result comments Manufacturing
 INDUSTRIAL PILOT DEMONSTRATOR 3 - COMAU – Automotive Industry Result comments Manufacturing
 Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
 Condition and performance monitoring technologies Taxon description Continuous monitoring of the condition and performance of the manufacturing system on component and machine level, enables sustainable and competive manufacturing, also by introducing autonomous diagnosis
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Description The Z-Break solution comprises the introduction of eight (8) scalable strategies at component, machine and system level targeting the prediction occurrence of failure (Z-PREDICT), the early detection
Comments Z-Bre4k will contribute to the optimisation of the manufacturing processesresulting in significantly less waste and scrap.
 Periodic Reporting for period 1 - Z-BRE4K (Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories) Result description The Z-BRE4K solution comprises the introduction of eight (8) scalable strategies at component, machine and system level targeting (i) the prediction occurrence of failure based on evidences (Z-PREDICT)
 Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
 Condition and performance monitoring technologies Taxon description Continuous monitoring of the condition and performance of the manufacturing system on component and machine level, enables sustainable and competive manufacturing, also by introducing autonomous diagnosis
 Waste minimisation Comments Z-Bre4k will contribute to the optimisation of the manufacturing processesresulting in significantly less waste and scrap.
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Description adjust the speed of the robots upon the detection of humans and automatically re-plan robot trajectory The project will be based on industrial applications, bringing dual arm robots to a maturity level
Comments Integration of Robot and human processes at station level. Simulation of Robot and human processes at station level.
 Dual arm robot Rework of electrical appliances Sewing machine disassembly Result title Dual arm robot Rework of electrical appliances Sewing machine disassembly Result comments Manufacturing Manufacture of electrical equipment
 Virtual Teach Pendant Result description a mechanism that monitors the VRC robot position within Process Simulate and also allows some small update of the PDL program from Process Simulate -Process Simulate add-on to monitor the simulation
 Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
 Flexibility Taxon description Flexibility in manufacturing means the ability to deal with slightly or greatly mixed parts, to allow variation in parts assembly and variations in process sequence, change the production volume and
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Description The Intelligent Manufacturing approach will work at machine-mold project level to optimise/adapt the production of the specific product and can be extended at factory level to select/plan the appropriated
Comments The equipment and devices are sensorized to be deeper monitored Manufacturing cell is monitored with data acquisition from  any level.
 The MUSIC guide to key-parameters in High Pressure Die Casting Result description factory oriented to energy-aware, agile manufacturing and customization. Result comments Manufacturing Manufacture of rubber and plastic products automated production line for Plastic product Manufacture of basic metals steel equipment for hot working production line Manufacture of fabricated
 Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
 Material efficiency Taxon description   Making a usable item out of thinner stock than a prior version increases the material efficiency of the manufacturing process.
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Title Twin-model based virtual manufacturing for machine tool-process simulation and control
Description European machine tool builders, part manufacturers and other agents have to work together to increase the competitiveness of European manufacturing industry.
 Periodic Reporting for period 2 - TWIN-CONTROL (Twin-model based virtual manufacturing for machine tool-process simulation and control) Result title Periodic Reporting for period 2 - TWIN-CONTROL (Twin-model based virtual manufacturing for machine tool-process simulation and control) Result description The novelty of this approach consists in the integration of new machining process models that provides the chance to evaluate machine tool performance during manufacturing operations.
 Machine Tool Digital Twin with Life Cycle features Result description The novelty of this approach consists in the integration of new machining process models that provides the chance to evaluate machine tool performance during manufacturing operations.
 Local Monitoring and Control System Result comments Use-phase of manufacturing system (producing products) Product Production of product Autonomous /online/realtime Manufacturing Process Optimisation on machine level
 Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
 AAA - Access, Authorisation and Authentication Taxon description More practical in an industrial setting for Digital Manufacturing Platforms, an authorized person can get access to an operational machine in order to update it, or investigate its contents.
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Description This new generation is paramount to making the factories of the future more cost-effective and restoring the competitiveness of the European manufacturing industry.
 Real-time multimodal command processing and interaction Result description The Realtime HRI is containered in FB –structures (Realtime HRI-Core FB-Set).
 Demonstrator 2: Human-Robot Collaboration on Aircraft Rib Assembly Result comments Design Engineering Data acquisition Cloud computing, edge computing Human Machine Interfaces Manufacturing Cells Product component Product module Autonomous /online/realtime Manufacturing Process
 Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
 Condition and performance monitoring technologies Taxon description Continuous monitoring of the condition and performance of the manufacturing system on component and machine level, enables sustainable and competive manufacturing, also by introducing autonomous diagnosis
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Description Also, a wide range of migration scenarios will be evaluated in the scope of a CPS manufacturing testbed.
Comments DLT allows several autonomous local processes to cooperate as peers in the scope of the same global process, the required state synchronization and common business loging being implemented
 Periodic Reporting for period 1 - FAR-EDGE (Factory Automation Edge Computing Operating System Reference Implementation) Result description As part of this process, FAR-EDGE aspires to: Provide a novel paradigm for decentralized automation solutions in manufacturing, which will open new horizons in mass-customization and reshoringOffer
 FAR-EDGE Volvo Pilot: Mass-Customization Result comments Manufacturing Manufacture of motor vehicles, trailers and semi-trailers Trucks
 Autonomous /online/realtime Manufacturing Process Optimisation on factory level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on factory level
 AAA - Access, Authorisation and Authentication Taxon description More practical in an industrial setting for Digital Manufacturing Platforms, an authorized person can get access to an operational machine in order to update it, or investigate its contents.
 Significant innovations and achievements Comments DLT allows several autonomous local processes to cooperate as peers in the scope of the same global process, the required state synchronization and common business loging being implemented
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Description The advanced analytics and reconfiguration capabilities to be developed in SAFIRE will be based on mastering the big data challenges associated with manufacturing (sensor and process data), enterprise
Comments Dynamic cloud based real-time cloud computing Methodology for reconfiguration and optimisation of products and factories based on predictive big-data analytics.
 Optimisation Metrics and Benchmarking Result title Optimisation Metrics and Benchmarking
 SAFIRE Electrolux pilot: Cloud-driven product optimization Result description Within the SAFIRE Project Electrolux seeks to address the use-case where products connected to a cloud-based system can be optimized through a reconfiguration process (Cloud-driven product optimization
 Methodology for Dynamic and Predictable Reconfiguration and Optimisation Engine Result comments result_rcn_EC deliverableType_EC Documents, reports IoT enabled SCADA, MOM-MES, ERP (…) connectivity Autonomous /online/realtime Manufacturing Process Optimisation on factory level
 Autonomous /online/realtime Manufacturing Process Optimisation on factory level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on factory level
 AAA - Access, Authorisation and Authentication Taxon description More practical in an industrial setting for Digital Manufacturing Platforms, an authorized person can get access to an operational machine in order to update it, or investigate its contents.
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Description UPTIME will enable manufacturing companies to reach Gartner's level 4 of data analytics maturity (optimized decision-making) in order to improve physically-based models and to synchronise maintenance
Comments A stable and controlled process has less variation. Thus, machine learning requires large sets of data to yield accurate results.
 Market Research Result description selected KPIs, a number of solutions to perform Predictive Maintenance (PM), ranging from reactive maintenance to proactive maintenance, as well as currently available on both commercial and research level
 Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
 Condition and performance monitoring technologies Taxon description Continuous monitoring of the condition and performance of the manufacturing system on component and machine level, enables sustainable and competive manufacturing, also by introducing autonomous diagnosis
 Lessons learned Comments A stable and controlled process has less variation. Thus, machine learning requires large sets of data to yield accurate results.

Associated results & demonstrators

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Description The collaborative task is here that the operator can interfear fast if something in the process is going wrong. This can happen often, because the tollerances of packages in the box are high.
  Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
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Description In the new process, a robot sets the position of the BUA’s and TIE’s.
  Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
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Description Noesis and ProService collaborated to develop a new adaptive process for controlling the liquid-iron stage of the foundry-casting process, based on Noesis’ Optimus software and ProService ITACA technologies
  Autonomous /online/realtime Manufacturing Process Optimisation on factory level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on factory level
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Description Magneti produces its magnets through a process called compaction, which uses a hydraulic press to apply pressure to magnetic powders until they solidify.
  Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
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Title Cloud-based-HPC optimisation of manufacturing processes
Description This experiment aimed to overcome the current deficiencies in online monitoring and control of laser processing, so that EMO can realise the full benefits of additive manufacturing and create better quality
  Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
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Description Monitoring of the manufacturing process generates a massive amount of data which could be used as a basis for machine learning to improve the production process.
  Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
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Description One of the ways of reducing the cost and lead-time of the material qualification process is to improve the predictive capability of material models.
  Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
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Description Machine configuration identification up-to 80% of accuracy.  8. Machine tuning recommendations in an iterative process.  9.
  Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
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Description Component-level energy monitoring: a low-cost energy monitoring concept is proposed, based on the disaggregation of the machine’s total power consumption.
  Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
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Title Fleet Management Platform for Machine Tools
Description A cloud based fleet-wide platform for machine tool condition, performance analysis and proactive maintenance has been developed.
  Autonomous /online/realtime Manufacturing Process Optimisation on factory level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on factory level