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Description The development and pilot line validation of the ModuLase laser process head will unlock the potential flexibility of fibre-delivered laser sources, and address a number of arising industrial challenges
 On-line quality monitoring system for multi-functional laser-based processing based on embedded VIS and MWIR computer vision Result title On-line quality monitoring system for multi-functional laser-based processing based on embedded VIS and MWIR computer vision Result description If there is no link to the publication on this page, you can try the pre-formated search via the search engines listed on this page.Authors: E.
 ModuLase - Modular Laser Process Head Result description If there is no link to the publication on this page, you can try the pre-formated search via the search engines listed on this page.Authors: E.
 Validation of MODULASE Laser Process Head Result description If there is no link to the publication on this page, you can try the pre-formated search via the search engines listed on this page.Authors: E.
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Description The project will increase the Technology Readiness Level (TRL) of the MW heating of composites process to TRL 6-7 from TRL 5.
Comments Domain 1 - Advanced Manufacturing Processes Impact Workshop D1-Area 6: Manufacturing Processes for Products Made of Composites or Engineered Metallic Materials Impact Workshop Domain 1 - Advanced Manufacturing
 Periodic Reporting for period 2 - SIMUTOOL (Integrated design and novel tooling and process optimisation of microwave processing of composites) Result title Periodic Reporting for period 2 - SIMUTOOL (Integrated design and novel tooling and process optimisation of microwave processing of composites) Result description The main concept of SIMUTOOL is the full modelling and simulation of the MW heating process using a combination of established modelling software packages (for the physicochemical phenomena) and CAD/CAE
 Domain 3: Digital, virtual and resource-efficient factories Taxon title Domain 3: Digital, virtual and resource-efficient factories Taxon description The set of research priorities under this domain focuses on factory design, data collection and management, operation and planning, from real-time to long term optimisation approaches.
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Description COALINE profiles will be joined to other materials by means of a primer type coating, incorporated also in-line, with bonding on-demand properties.
Comments Domain 1 - Advanced Manufacturing Processes Impact Workshop D1-Area 6: Manufacturing Processes for Products Made of Composites or Engineered Metallic Materials Impact Workshop Domain 1 - Advanced Manufacturing
 Final Report Summary - COALINE (Development of an innovative manufacturing process for the in-LINE COAting of pultruded composites) Result title Final Report Summary - COALINE (Development of an innovative manufacturing process for the in-LINE COAting of pultruded composites)
 Domain 1: Advanced manufacturing processes Taxon title Domain 1: Advanced manufacturing processes Taxon description The set of research priorities under this domain focuses on innovative processes for efficient and high quality manufacturing for either both new and current materials or products.
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Description Even small modifications have significant impact on the performance; hence the design process requires a very accurate representation of the geometry.
Comments Domain 3 - Digital, Virtual and Resource-efficient Factories Impact Workshop D3-Area 1: Cloud services and simulation, Knowledge-based tools and integrated product-process design and simulation Impact
 On penalty-free formulations for multipatch isogeometric Kirchhoff–Love shells Result title On penalty-free formulations for multipatch isogeometric Kirchhoff–Love shells
 Report on shape deformation techniques based on volumet-ric approaches Result description Report on shape deformation techniques based on volumet-ric approaches (dissemination level: PU/RE)
 RP 3.10 Design and management of Production Machinery and Processes Taxon description Simulation models that represent the interaction between a production machine and the related technological process will be able to forecast productivity and part quality in front of varying environmental
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Description (ii) The on-line reworking of the product in order to eliminate the defect. (iii) The on-line workpiece repair through defect elimination at consecutive process stages.
Comments RP 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
 Process monitoring technology based on multi-scale, multi-sensor data fusion for high responsiveness while identifying manufacturing process deviations, applicable to small batch productions. Result title Process monitoring technology based on multi-scale, multi-sensor data fusion for high responsiveness while identifying manufacturing process deviations, applicable to small batch productions.
 Production of micro-catheters for medical applications. Result description In-line visual inspection of black specks based on three cameras POST-PROCESS 1.
 RP 2.12 Monitoring, Perception & Awareness on Manufacturing Taxon title RP 2.12 Monitoring, Perception & Awareness on Manufacturing
 RP 3.9 System-oriented quality control strategies in multi-stage manufacturing. Taxon description To this purpose, quality control tools should be supported by distributed on-line data gathering systems, on-line defect management policies (i.e. on-line rework or workpiece repair), inter-stage information
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Description An important part of the test bed was the network created, and the cross-functional teams of researchers, companies and external experts who worked on the pilot cases.
Comments Reducing the consumption of water and other process resources.
 Domain 3: Digital, virtual and resource-efficient factories Taxon title Domain 3: Digital, virtual and resource-efficient factories
 RP 5.4 New ways of interaction and collaboration between workers and other resources in manufacturing systems Taxon description It requires research on safety, automation level optimisation, ICT-based trust and communication optimisation, new human- and robot-based sensor packages, and new human/robot dialogue-based ways of automation
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Description , which can be used to machine any material with high precision.An important obstacle however that hinders the full exploitation of the unique process characteristics, is the lack of a smart / adaptive
Comments priorities Domain 6: Customer-focused manufacturing RP 6.9 On-demand manufacturing of customer-centric products FoF Partnership SRIA Research priorities Domain 6: Customer-focused manufacturing RP 6.10
 Monitoring of laser material processing using machine integrated low-coherence interferometry Result title Monitoring of laser material processing using machine integrated low-coherence interferometry
 D 2.4 Result description Process optimized high NA scanning objective
 RP 3.9 System-oriented quality control strategies in multi-stage manufacturing. Taxon description To this purpose, quality control tools should be supported by distributed on-line data gathering systems, on-line defect management policies (i.e. on-line rework or workpiece repair), inter-stage information
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Description LinkedDesign is intended to boost today’s engineers by providing an integrated, holistic view on data, persons and processes across the full product lifecycle as vital resource for the outstanding
Comments Complex structures, geometries and scale Manufacturing future products Manufacturing the products of the future The increasing production valumes as well as the ever increasing demants on car body parts
 RP 2.12 Monitoring, Perception & Awareness on Manufacturing Taxon title RP 2.12 Monitoring, Perception & Awareness on Manufacturing
 RP 3.4 Energy monitoring and management in future manufacturing enterprises Taxon description Energy savings areas in the production environment have to be considered from different perspectives: component level, field level, machine level, process and plant level.
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Description The vision of IFaCOM is to achieve a near zero defect level of manufacturing for all kinds of manufacturing, with emphasis on production of high value parts, on large variety custom design manufacturing
Comments on Manufacturing FoF Partnership SRIA Research priorities Sub-Domain 2.2 Dynamic Production systems and Factories Domain 2: Adaptive and smart manufacturing systems Domain 3: Digital, virtual and resource-efficient
 Method for on the machine total surface characterization and process validation Result title Method for on the machine total surface characterization and process validation
 Georg Fischer Agie Charmilles DEMO Result description • Long-term, off-line correction system This system, based on the application of the fuzzy logic approach of WP6, allows to optimise the process towards zero defect based on the level of detected
 Optical part measuring inside a milling machine Result acronym Optical part measuring inside a milling machine
 RP 2.12 Monitoring, Perception & Awareness on Manufacturing Taxon title RP 2.12 Monitoring, Perception & Awareness on Manufacturing
 Measurement, sensing, 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 These factors will have a strategic effect on the sustainability of the European plastics industry competitiveness.
Comments Des-MOLD reduced machine cycle times (between 10-45%) under more reliable and efficient manufacturing conditions Reduction of waste (in %) Additional KPIs Contribution to the reduction of waste Reduction
 Part quality control software (integrated in foreground Statistical module) Result description Software for forecasting the part quality based on the piece, not on the usual process parameters threshold approach.
 RP 3.9 System-oriented quality control strategies in multi-stage manufacturing. Taxon description To this purpose, quality control tools should be supported by distributed on-line data gathering systems, on-line defect management policies (i.e. on-line rework or workpiece repair), inter-stage information
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Description Fortissimo places considerable emphasis on the exploitation of opportunities at all levels of the value chain ranging from the end-user to the High Performance Computing infrastructure provider.
Organisation MOXOFF SPA
Comments tools and integrated product-process design and simulation Impact Workshop Domain 3 - Digital, Virtual and Resource-efficient Factories Domain 3: Digital, virtual and resource-efficient factories FoF
 Cloud-based simulation for services based on crowd-sensing Result title Cloud-based simulation for services based on crowd-sensing
 Cloud-based shape optimisation for super-cars Result description shape optimisation (ASO) to a wider audience of manufacturing SMEs.
 C MANUFACTURING Taxon title C MANUFACTURING
 Domain 3: Digital, virtual and resource-efficient factories Taxon description The set of research priorities under this domain focuses on factory design, data collection and management, operation and planning, from real-time to long term optimisation approaches.
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Description The ROSSINI project aims to develop a disruptive, inherently safe hardware-software solution for the design and deployment of human-robot collaboration (HRC) applications in manufacturing.
Comments to assist final customer in the production line (see T8.3 - Food Products Packaging use case) R&I Objective 4.2: Improving human device interaction using augmented and virtual reality and digital
 Demonstration Report on Use Case Result title Demonstration Report on Use Case
 "Demonstration Report on Use Case #3" Result title Demonstration Report on Use Case
 "Demonstration Report on Use Case #1" Result title Demonstration Report on Use Case
 OECD-based metrics Result description A list of OECD based metrics that can be evaluated on (sub)task levels. The metrics can be directly linked to the OECD job quality index.
 Realtime optimisation Taxon title Realtime optimisation
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Description Smart, SME Friendly, open, Zero-Defect Manufacturing Reference Platform, Apps, SDK, and Marketplace for Product and Process Quality in any factory for achieving excellence in European and Global Manufacturing
 CEN-CENELEC Workshop Agreement on Zero defect in digital manufacturing technology Result title CEN-CENELEC Workshop Agreement on Zero defect in digital manufacturing technology
 ZDMP Standardisation Activities Result description Presented by Grunewald Christian during the Standards for digital manufacturing webinar on the 20 October 2020, organised by Connected Factories 2 Project and EFFRA.  
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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 Pathway Autonomous /online/realtime Manufacturing Process Optimisation on machine level Pathways Realtime optimisation Autonomous Smart Factories Pathway Product-Service Innovation Pathways Collaborative
 Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing Result title Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing
 Periodic Reporting for period 2 - UPTIME (UNIFIED PREDICTIVE MAINTENANCE SYSTEM) Result description UPTIME strives to give impact on the European manufacturing...
 Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
 Measurement, sensing, 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 Together, we will validate the platform in a broad spectrum of real-life industrial scenarios (low volume, high volume and continuous manufacturing).
Comments purpose software Pathways Autonomous Smart Factories Pathway Dedicated software in silos Pathways Autonomous Smart Factories Pathway Connected IT and OT Pathways Autonomous Smart Factories Pathway Off-line
 Estimating remaining useful life of machine tool ball screws via probabilistic classification Result title Estimating remaining useful life of machine tool ball screws via probabilistic classification
 Demonstration of PreCoM system in low-volume manufacturing (Sakana) Result description of critical components of the machine.
 Off-line optimisation Taxon title Off-line optimisation
 RP 3.4 Energy monitoring and management in future manufacturing enterprises Taxon description Energy savings areas in the production environment have to be considered from different perspectives: component level, field level, machine level, process and plant level.
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Description Preventive maintenance strategies designed for traditional highly repetitive and stable mass production processes based on predefined components and machine behaviour models are no longer valid and more
Comments Manufacturing system levels Manufacturing system levels Autonomous /online/realtime Manufacturing Process Optimisation on machine level Pathways Realtime optimisation Autonomous Smart Factories Pathway
 Causal Modelling for Predicting Machine Tools Degradation in High Speed Production Process Result title Causal Modelling for Predicting Machine Tools Degradation in High Speed Production Process
 Z-Bre4k DSS towards operational optimisation Result description Report on the design of decision support system and its reasoning engine; addressing also process optimisation, strategy exploration, risk assessment methods, automatic recommendations and maintenance
 Autonomous /online/realtime Manufacturing Process Optimisation on machine level Taxon title Autonomous /online/realtime Manufacturing Process Optimisation on machine level
 Measurement, sensing, 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 More specifically, SERENA project will focus on advancing the TRL of the existing developments into levels TRL5 to TRL7.
Comments Platform enabled optimisation Pathways Off-line optimisation Autonomous Smart Factories Pathway The SERENA cloud-based platfrom will provide insight towards the optimisation of the production
 On an evolutionary information system for personalized support to plant operators Result title On an evolutionary information system for personalized support to plant operators
 Metrology Equipment Use Case Result description Metrological equipment is essential for quality control and in-line inspection in manufacturing processes.
 RP 5.4 New ways of interaction and collaboration between workers and other resources in manufacturing systems Taxon description It requires research on safety, automation level optimisation, ICT-based trust and communication optimisation, new human- and robot-based sensor packages, and new human/robot dialogue-based ways of automation
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Description FAR-EDGE is a joint effort of leading experts in manufacturing, industrial automation and FI technologies towards the smooth and wider adoption of virtualized factory automation solutions based on FI technologies
Comments   Off-line Digital Manufacturing Process Optimisation on machine level Pathways Off-line optimisation Autonomous Smart Factories Pathway The Virtualization domain of the FAR-EDGE Platform
 Migration towards digital manufacturing automation — An assessment approach Result title Migration towards digital manufacturing automation — An assessment approach
 The FAR-EDGE Factory Automation Platform Result description The Platform is exposed to manufacturing applications and legacy Enterprise Systems through a Cloud-based Open API.
 Off-line Digital Manufacturing Process Optimisation on machine level Taxon title Off-line Digital 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 fields of Internet of Things, Future Internet and CPS / Smart Systems and able to bi-directionally interoperate data pertaining to the machine, the factory and the cloud levels.
Comments Digital Manufacturing Process Optimisation on machine level Pathways Off-line optimisation Autonomous Smart Factories Pathway Increasing human achievements in manufacturing systems Manufacturing performance
 Implementing Cyber-Physical Systems in Manufacturing Result title Implementing Cyber-Physical Systems in Manufacturing
 EUSKADI industrial Champion Result description Plastic Components Industry: Manufacturing Process for Automotive Parts The Euskadi Digital Innovation Hub has deployed the experimental facilities to experiment new technologies in the checking fixtures
 Off-line Digital Manufacturing Process Optimisation on machine level Taxon title Off-line Digital Manufacturing Process Optimisation on machine level
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Description DISRUPT offers a set of decision support tools based on three core modules (modelling, simulation and optimisation) and a secure and flexible plug-n-play platform that will allow engineers from different
Comments Digital Manufacturing Process Optimisation on factory level Pathways Off-line optimisation Autonomous Smart Factories Pathway Connected IT and OT Pathways Autonomous Smart Factories Pathway MOM-SCADA
 Allocation of publisher/subscriber data links on a set of virtual machines. Result title Allocation of publisher/subscriber data links on a set of virtual machines.
 High Performance Computing and Industry 4.0: Experiences from the DISRUPT Project Result description publisher: ACM Digital LibraryPublished year: 2018
 Off-line Digital Manufacturing Process Optimisation on factory level Taxon title Off-line Digital Manufacturing Process Optimisation on factory level
 RP 3.4 Energy monitoring and management in future manufacturing enterprises Taxon description Energy savings areas in the production environment have to be considered from different perspectives: component level, field level, machine level, process and plant level.
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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   Off-line Digital Manufacturing Process Optimisation on machine level Pathways Off-line optimisation Autonomous Smart Factories Pathway Applicable.
 Fill-Level Sensors Result title Fill-Level Sensors
 Deep Learning Toolkit Result description The DLT utilises machine learning and deep learning methodologies for multiple-level analysis on heterogeneous sources. It provides custom support to intelligent decision and evaluation systems.
 Off-line Digital Manufacturing Process Optimisation on machine level Taxon title Off-line Digital Manufacturing Process Optimisation on machine level
 RP 3.4 Energy monitoring and management in future manufacturing enterprises Taxon description Energy savings areas in the production environment have to be considered from different perspectives: component level, field level, machine level, process and plant level.
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Description IEC 61499 standard, fostering the creation of a Digital Ecosystem that could go beyond the current limits of manufacturing control systems and propose an ever-growing market of innovative solutions for
Comments optimisation Pathways Autonomous Smart Factories Pathway Off-line Digital Manufacturing Process Optimisation on factory level Pathways Off-line optimisation Autonomous Smart Factories Pathway Platform
 The Digital Shopfloor: Industrial Automation in the Industry 4.0 Era Result title The Digital Shopfloor: Industrial Automation in the Industry 4.0 Era
 Daedalus proof-of-concept showcases - 3 Result description Daedalus proof-of-concept showcases - machine/equipment-level
 Off-line Digital Manufacturing Process Optimisation on factory level Taxon title Off-line Digital Manufacturing Process Optimisation on factory level
 AAA - Access, Authorisation and Authentication Taxon description Access control levels can thus be set up on different layers.
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Description In line with our assumptions on impacts on productivity we therefore estimate that that we can increase job satisfaction for 800,000 European workers by the year 2025.
Organisation EVOLARIS NEXT LEVEL GMBH
Comments Digital Manufacturing Process Optimisation on machine level Pathways Off-line optimisation Autonomous Smart Factories Pathway Off-line Digital Manufacturing Process Optimisation on factory level Pathways
 IT on the Shop Floor - Challenges of the Digitalization of Manufacturing Companies Result title IT on the Shop Floor - Challenges of the Digitalization of Manufacturing Companies
 Kick-off Meeting Report Result description Kickoff Meeting Report
 Off-line Digital Manufacturing Process Optimisation on machine level Taxon title Off-line Digital Manufacturing Process Optimisation on machine level
 Measurement, sensing, 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 A second demonstration will focus on rework of electrical appliances to disassemble, rework and reassemble electrical devices.
Comments Off-line Digital Manufacturing Process Optimisation on machine level Pathways Off-line optimisation Autonomous Smart Factories Pathway Dual arm robot simulation developed.
 Dual arm robot Rework of electrical appliances Sewing machine disassembly Result title Dual arm robot Rework of electrical appliances Sewing machine disassembly
 Simulation of Dual Arm Robots Result description -Initial mandatory milestone to further extend Process Simulate product to support full Off Line programming of other cooperative robot configurations (process relative motion, load sharing, etc..) from
 Off-line Digital Manufacturing Process Optimisation on machine level Taxon title Off-line Digital Manufacturing Process Optimisation on machine level
 Domain 2: Adaptive and smart manufacturing systems Taxon description The set of research priorities under this domain focuses on innovative manufacturing equipment at component and system level, including mechatronics, control and monitoring systems The research priorities
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Description The scientific breakthrough will be achieved by creating and validating a holistic systems engineering structure that combines human-machine systems, product lifecycle management, business and organizational
Organisation Institute for Advanced Manufacturing - University of Nottingham
Comments sectors Off-line Digital Manufacturing Process Optimisation on factory level Pathways Off-line optimisation Autonomous Smart Factories Pathway Off-line Digital Manufacturing Process Optimisation on
 3D Virtual Manufacturing Design Review Result title 3D Virtual Manufacturing Design Review
 Efficient production line upgrades Result description ​Adapting truck manufacturing systems to serve new products and production volume changes Results demonstrated Tools and processes for production site modelling and design optimisation based on laser Result acronym Production line upgrade
 Off-line Digital Manufacturing Process Optimisation on machine level Taxon title Off-line Digital Manufacturing Process Optimisation on machine level
 Domain 6: Customer-focused manufacturing Taxon description The set of research priorities under this domain focuses on involving customers in manufacturing value chain, from product-process design to manufacturing-associated innovative services.
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Description Traditional manufacturing industry is in the throes of a digital transformation.
Comments Off-line Digital Manufacturing Process Optimisation on machine level Pathways Off-line optimisation Autonomous Smart Factories Pathway Optimization on the assembly line Off-line Digital
 Human resource optimisation through semantically enriched data Result title Human resource optimisation through semantically enriched data
 Design of a knowledge-enabled supervisory framework for the detection of abnormal conditions at process pilot plants Result description VoutetakisJournal title: Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution ReductionJournal number: -Journal publisher: SCOPUS and ISI Thompson ReutersPublished
 Article on the AR for Enterprise Alliance (AREA) blog, introducing the SatisFactory project- "FACTORIES OF THE FUTURE". Result acronym Article on the AREA
 Off-line Digital Manufacturing Process Optimisation on machine level Taxon title Off-line Digital Manufacturing Process Optimisation on machine level
 Measurement, sensing, 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 of product and process lifecycle.
Organisation SINTEF MANUFACTURING AS (SINTEF)
Comments Digital Manufacturing Process Optimisation on factory level Pathways Off-line optimisation Autonomous Smart Factories Pathway Off-line Digital Manufacturing Process Optimisation on machine level Pathways
 Pilot - FAGOR Zero-Defects Manufacturing Digital Press Machine Result title Pilot - FAGOR Zero-Defects Manufacturing Digital Press Machine Result description All the improvements performed at press machine level will directly improve the production line where it is integrated with.
 Off-line Digital Manufacturing Process Optimisation on machine level Taxon title Off-line Digital Manufacturing Process Optimisation on machine level
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Description The requirements on production systems are continuously being shifted towards higher flexibility and adaptability.
Comments Factory Automation Addressed processes Off-line Digital Manufacturing Process Optimisation on machine level Pathways Off-line optimisation Autonomous Smart Factories Pathway RP 2.1 Flexible and
 Report on standardisation activities Result title Report on standardisation activities
 Bosch Environment HoP2 Result description Further, the production planners on shopfloor level are enabled to program new products without the need for support by machine suppliers. This allows a much faster reaction to changing needs.
 Off-line Digital Manufacturing Process Optimisation on machine level Taxon title Off-line Digital Manufacturing Process Optimisation on machine level
 RP 2.11 Dynamic Manufacturing Execution Environments for their Smarter Integration into dynamic and agile factories Taxon description In addition, the amount of knowledge extracted from automation level should be fully exploited by manufacturing execution systems.
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Description and the industrial wireless communication capabilities developed in the project, mould and machine become IoT-capable, allowing for interoperability at intra-plant level with other devices, including
Comments Smart Factories Pathway Off-line Digital Manufacturing Process Optimisation on machine level Pathways Off-line optimisation Autonomous Smart Factories Pathway project_id_EC super_admin project_rcn_EC
 Report on PREVIEW technology transfer workshop Result title Report on PREVIEW technology transfer workshop
 Integrated data acquistion system for Plastic Injection Moulding machines and moulds Result description Data that varies in a discrete way (e.g. on/off), is recognised as digital, this involves time related data, such as the triggering signal for start/stop of a moulding cycle.
 Off-line Digital Manufacturing Process Optimisation on machine level Taxon title Off-line Digital Manufacturing Process Optimisation on machine level
 RP 5.5 New recommendation systems for the European workforce Taxon description Soon, the amount of digital knowledge about manufacturing processes will exceed the human ability to process and utilize it.
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Description European machine tool builders, part manufacturers and other agents have to work together to increase the competitiveness of European manufacturing industry.
Comments Interoperability (ICT) Off-line Digital Manufacturing Process Optimisation on machine level Pathways Off-line optimisation Autonomous Smart Factories Pathway C30 Manufacture of other transport equipment
 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)
 Local Monitoring and Control System Result description Component-level energy monitoring: a low-cost energy monitoring concept is proposed, based on the disaggregation of the machine’s total power consumption.
 Machine Tool Digital Twin with Life Cycle features Result acronym Machine Tool Digital Twin
 Off-line Digital Manufacturing Process Optimisation on machine level Taxon title Off-line Digital Manufacturing Process Optimisation on machine level
 AAA - Access, Authorisation and Authentication Taxon description Access control levels can thus be set up on different layers.