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Comments RP 2.7 Micro-precision into micro and macro-production equipment FoF Partnership SRIA Research priorities Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Domain 2: Adaptive
 Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Taxon title Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines
 Advanced and ubiquitous human machine interaction Taxon description Advanced machine interaction with humans through ubiquity of mobile devices will enable users to receive relevant production and enterprise-specific information regardless of their geographical location
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Description The consolidated platform between CloudFlow and cloudSME with extended capabilities to process factory data is going to be accessed through a central interface, enabling the stakeholders to interact, and
Comments One field of future activities shall be the integration of interactive simulation technology for digital twins into AR and VR user experiences.
 Optimizing design and production of electric devices Result title Optimizing design and production of electric devices
 Optimizing efficiency of truck components manufacturing processes by data analytics Result description with new equipment, components and tools for improved manufacturing and engineering operations.
 RP 3.3 Integrated High-performance Computing in Factory Life Cycle Management Taxon title RP 3.3 Integrated High-performance Computing in Factory Life Cycle Management
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description Internet of Things (IoT)-based continuous data collection from real-world resources (i.e. assets, devices, products) from the field and along the value chain in conjunction with appropriate simulation
 R&I Objective 4.2: Improving human device interaction using augmented and virtual reality and digital twins Comments One field of future activities shall be the integration of interactive simulation technology for digital twins into AR and VR user experiences.
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Description the use, reuse, storage, analysis and sharing of knowledge within the Virtual Factory.
Comments storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies Collaboration platform, Virtual Factory
 EPES Virtual Collaborative Network (VCN) Result description The VCN has the following functionalities: • Virtual Factory Infrastructure: The VCN provides a Virtual Factory infrastructure, which groups together stakeholders and offer collaboration features to them
 RP 3.1 Integrated factory models for evolvable manufacturing systems Taxon title RP 3.1 Integrated factory models for evolvable manufacturing systems
 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 COMPONENTS High-quality parts produced are expected to have impacts in the field of miniaturised products/systems, both for users and manufacturers.
Comments and physicochemical processes Technologies and enablers Advanced material processing technologies Novel physical process for powder densification based on pressure assisted pulsed current Replication, Equipment
 In-situ micro-component robotic handling (fragile parts) method and the device Result title In-situ micro-component robotic handling (fragile parts) method and the device
 Micro-FAST prototype machine Result description MEMS (Micro-Electric-Mechanical Systems), micromechanical devices and biotechnology products.
 Replication, Equipment for flexible scalable prod/Assembly , Coatings Taxon title Replication, Equipment for flexible scalable prod/Assembly , Coatings
 Intelligent machinery components, actuators and end-effectors Taxon description Energy technologies are gaining importance, such as (super)capacitors, pneumatic storage devices, batteries and energy harvesting technologies.
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Description A second demonstration will focus on rework of electrical appliances to disassemble, rework and reassemble electrical devices.
Comments This requires further development to ensure the required robustness of the new equipment.
 Fenceless supervision system Result description Certified safety devices and approaches for allowing human and robots in a fenceless workspace. SafetyEYE and a User Centered Design (UCD) approach offers these options.
 C27 Manufacture of electrical equipment Taxon title C27 Manufacture of electrical equipment
 Advanced and ubiquitous human machine interaction Taxon description Interactions with ICT infrastructures and equipment will be natural language-like
 UPSCALE - Compatibility and integration with existing production environment and value chains Comments This requires further development to ensure the required robustness of the new equipment.
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Description Virtual factory models will be used as engaging platforms for participatory design of work practices, knowledge sharing and training, involving all the relevant stakeholders in contributing the organizational
Comments Factory workers are very motivated in participating designing the manufacturiong processes, and their contribution to the design is important.
 Quantified Factory Worker - Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices Result title Quantified Factory Worker - Expert Evaluation and Ethical Considerations of Wearable Self-tracking Devices
 Worker feedback dashboard Result description The deliverable will demostrate the feedback to the worker on a personal device. The deliverable will be updated M22.
 Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Taxon title Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines
 RP 3.1 Integrated factory models for evolvable manufacturing systems Taxon description The semantic models should be holistic in nature and be able to represent all levels of production functions and equipment.
 R&I Objective 4.4: Manufacturing Innovation and change management Comments Factory workers are very motivated in participating designing the manufacturiong processes, and their contribution to the design is important.
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Description DISRUPT aims to spearhead the transition to the next-generation manufacturing by facilitating the vision of a Smart Factory .
Comments Data Analytics and IoT/CPS modules [SAG] will seek to comply to existing manufacturing standards and possibly test their effectiveness Field Device Manufacturing system levels Manufacturing system levels
 Field Device Taxon title Field Device
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description Internet of Things (IoT)-based continuous data collection from real-world resources (i.e. assets, devices, products) from the field and along the value chain in conjunction with appropriate simulation
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Comments , components and machines Domain 2: Adaptive and smart manufacturing systems Domain 5: Human-centric manufacturing FoF Partnership SRIA Research priorities RP 5.6 Plug & Play interfaces for factory workers
 Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Taxon title Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines
 RP 2.3 Symbiotic Safe and Productive human robot interaction, professional Service Robots and Multimodal Human-Machine-Robot Collaboration Taxon description Moreover intuitive and multimodal task oriented programming devices will make the machines capable of understanding human like instructions increasing interaction efficiency.
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Comments - www.sentio.net - Domain 3: Digital, virtual and resource-efficient factories FoF Partnership SRIA Research priorities RP 3.1 Integrated factory
 RP 3.1 Integrated factory models for evolvable manufacturing systems Taxon title RP 3.1 Integrated factory models for evolvable manufacturing systems
 RP 5.5 New recommendation systems for the European workforce Taxon description Easy to use user interfaces to render recommendation information in platform-agnostic fashion on workstations as well as mobile devices of factory workers should complement the algorithmic and functional
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Description RLW is emerging as a promising joining technology for sheet metal assembly due to a number of benefits including reduced processing time (50-75%), decreased factory floor footprint (50%), reduced environmental
Comments Complex structures, geometries and scale Domain 1: Advanced manufacturing processes Domain 3: Digital, virtual and resource-efficient factories FoF Partnership SRIA Research priorities RP 3.1 Integrated factory
 RP 3.1 Integrated factory models for evolvable manufacturing systems Taxon title RP 3.1 Integrated factory models for evolvable manufacturing systems
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description Internet of Things (IoT)-based continuous data collection from real-world resources (i.e. assets, devices, products) from the field and along the value chain in conjunction with appropriate simulation
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Comments simulation Impact Workshop Domain 3 - Digital, Virtual and Resource-efficient Factories Domain 3: Digital, virtual and resource-efficient factories FoF Partnership SRIA Research priorities RP 3.1 Integrated factory
 Environmental sustainability of orthopedic devices produced with powder bed fusion Result title Environmental sustainability of orthopedic devices produced with powder bed fusion
 RP 3.1 Integrated factory models for evolvable manufacturing systems Taxon title RP 3.1 Integrated factory models for evolvable manufacturing systems
 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 areas and sectors C MANUFACTURING C28 Manufacture of machinery and equipment n.e.c.
 Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Taxon title Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines
 Advanced and ubiquitous human machine interaction Taxon description Interactions with ICT infrastructures and equipment will be natural language-like
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Description This is possible by integrating enterprise information systems, automation equipment and open APIs for system optimization.
Comments sustainability Flexibility Manufacturing performance characteristics Economic sustainability Circular economy Manufacturing performance characteristics Environmental sustainability Innovative re-use of equipment
 Factory Advanced Plant Model visualisation software Result title Factory Advanced Plant Model visualisation software
 Specification of Hardware System Model that promotes capabilities of flexible robotic equipment to the upper skill framework. Result description Specification of Hardware System Model that promotes capabilities of flexible robotic equipment to the upper skill framework.
 Innovative re-use of equipment Taxon title Innovative re-use of equipment
 Advanced and ubiquitous human machine interaction Taxon description Interactions with ICT infrastructures and equipment will be natural language-like
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Comments /equipment/machinery at the factory.
 Final assembly of electric vehicles (RWTH Aachen University) Result description The RWTH use case, is set in the ramp-up factory Aachen, for the assembly of a small electric vehicle prototype for short-distance traffic.
 RP 3.1 Integrated factory models for evolvable manufacturing systems Taxon title RP 3.1 Integrated factory models for evolvable manufacturing systems
 Advanced and ubiquitous human machine interaction Taxon description Interactions with ICT infrastructures and equipment will be natural language-like
 RP 2.10 Adaptive Process Automation and Control for a sensing shop floor Comments /equipment/machinery at the factory.
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Comments priorities Sub-Domain 2.2 Dynamic Production systems and Factories Domain 2: Adaptive and smart manufacturing systems C MANUFACTURING Applications areas and sectors C28 Manufacture of machinery and equipment
 C28 Manufacture of machinery and equipment n.e.c. Taxon title C28 Manufacture of machinery and equipment n.e.c.
 Advanced and ubiquitous human machine interaction Taxon description Interactions with ICT infrastructures and equipment will be natural language-like
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 Cross-Federation Identities for IoT Devices in Cellular Networks Result title Cross-Federation Identities for IoT Devices in Cellular Networks
 Service Enabling Software Routing Result description As an example, Voice over Wifi (VoWifi) requires an uptime of the communication between the wireless and the device, with requirements both to the network and the mobile phone.
 Interoperability (ICT) Taxon description In the context of information technology, interoperability refers to the ability of different systems and devices to exhange information.
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Comments System modelling - digital twins, simulation Technologies and enablers Engineering tools Part of the project covered the field of KBE (Knowledge Based Engineering).
 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 Additionally, the number of sensors and the amount of data gathered on the factory floor constantly increases.
Comments Monitoring Addressed processes Through ICT devices and advanced connectivity the sensor acquired data streams enable the monitoring of the operational status of the equipment.
 Metrology Equipment Use Case Result title Metrology Equipment Use Case
 Design of versatile framework for factory condition monitoring Result description This deliverable will describe the design of HW and SW solutions for versatile remote factory monitoring.
 Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Taxon title Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and 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 worker.Consortium partners in this proposal have already achieved relevant results in different technologies that are fundamental to solving the outlined problem of automating the factory floor by means
Comments cognitive functions for supporting the use of machinery and robot systems in changing shop floor environments FoF Partnership SRIA Research priorities Sub-Domain 2.1 Adaptive and smart manufacturing devices
 Towards a planning-based framework for symbiotic human-robot collaboration Result description the search engines listed on this page.Authors: Amedeo Cesta, Andrea Orlandini, Giulio Bernardi, Alessandro UmbricoJournal title: 2016 IEEE 21st International Conference on Emerging Technologies and Factory
 Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Taxon title Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines
 Advanced and ubiquitous human machine interaction Taxon description Interactions with ICT infrastructures and equipment will be natural language-like
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Comments European market share in robot production could go down if great innovation efforts are not made in this field.
 Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Taxon title Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines
 Advanced and ubiquitous human machine interaction Taxon description Interactions with ICT infrastructures and equipment will be natural language-like
 Significance of the results for SMEs Comments European market share in robot production could go down if great innovation efforts are not made in this field.
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Description The main objective of IMPROVE is to create a virtual Factory of the Future, which provides services for user support, especially on optimization and monitoring.
Comments Training Impact Workshop Domain 5 - Human-centred Manufacturing Domain 2: Adaptive and smart manufacturing systems FoF Partnership SRIA Research priorities Sub-Domain 2.1 Adaptive and smart manufacturing devices
 An intelligent optimization algorithm which is able to find the efficient configuration of the factory Result title An intelligent optimization algorithm which is able to find the efficient configuration of the factory
 Hybrid Process Model (HPM) Result description The HPM is the heart of the Industry 4.0 demonstrator network “myJoghurt”, which is utilized by a number of German universities for research in this field.
 Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Taxon title Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and 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 The project concepts will e also tested in the Factory of the Future lab available at the Polytechnic of Milan.
Comments areas and sectors C MANUFACTURING C28 Manufacture of machinery and equipment n.e.c.
 Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Taxon title Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines
 RP 2.3 Symbiotic Safe and Productive human robot interaction, professional Service Robots and Multimodal Human-Machine-Robot Collaboration Taxon description Moreover intuitive and multimodal task oriented programming devices will make the machines capable of understanding human like instructions increasing interaction efficiency.
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Comments real-world integration of flexible business processes (pending) - Domain 3: Digital, virtual and resource-efficient factories FoF Partnership SRIA Research priorities RP 3.1 Integrated factory
 AR tools for training Result description Framework for guiding assembly workers which has 3D visualization support as well as communication support through two devices: • AR goggles • Handheld device Initially integrated with Tecnalia’s
 RP 3.1 Integrated factory models for evolvable manufacturing systems Taxon title RP 3.1 Integrated factory models for evolvable manufacturing systems
 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 Innovative re-use of equipment Manufacturing performance characteristics Product life extension Circular economy Environmental sustainability Lifecycle extension through product refurbishment or components
 (KER G5)Service solution for Condition Based Maintenance (CBM) of Robot Cells Result description A new data logger HW/SW solution has been developed for gathering data from virtually any device or system. This is the main component for the new Condition based Maintenance (CbM) solution.
 Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Taxon title Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and 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 , including the PREVIEW server, database and mobile devices such as tablets and smartphones; PREVIEW system offers the possibility to share among the Cloud the mould-DNA functionalities as well as the
Comments Additional KPIs It is likely that Plastic Injection Moulding operators may required new skills to take advantage of all possible functionalities offered by new CPS and ICT systems introduced in the PIM equipment
 Prioritizing wireless communication for robust industrial process control Result description Protocols must transfer process information timely even with temporary wireless interference on the factory floor and regardless of machines' location in the network topology.
 Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Taxon title Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description Internet of Things (IoT)-based continuous data collection from real-world resources (i.e. assets, devices, products) from the field and along the value chain in conjunction with appropriate simulation
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Comments creativity and productivity of manufacturing development MIE Consultation 2020 (Closed) Specific Objective 4: Human-centered and human-driven manufacturing innovation R&I Objective 4.2: Improving human device
 Maintenance 4.0 to fulfil the demands of Industry 4.0 and Factory of the Future Result title Maintenance 4.0 to fulfil the demands of Industry 4.0 and Factory of the Future
 Enterprise - Factory Taxon title Enterprise - Factory
 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 - Domain 3: Digital, virtual and resource-efficient factories FoF Partnership SRIA Research priorities RP 3.1 Integrated factory models for evolvable
 Demand and weather forecasting module Result description Motivation / Need: Demand forecast and generation of a cleaner and greener factory through selecting the greenest energy depended production plan with the use of weather forecasting.
 RP 3.1 Integrated factory models for evolvable manufacturing systems Taxon title RP 3.1 Integrated factory models for evolvable manufacturing systems
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description Internet of Things (IoT)-based continuous data collection from real-world resources (i.e. assets, devices, products) from the field and along the value chain in conjunction with appropriate simulation