Projects overview

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Description Industry 4.0 is the next developmental stage in the organisation of the manufacturing value chain.
Comments Added Value Business model aspects To implement the entire system as a bundle of cloud-based tools and services Design Addressed processes To provide modelling and design services.
 Periodic Reporting for period 1 - DISRUPT (Decentralised architectures for optimised operations via virtualised processes and manufacturing ecosystem collaboration) Result description IoT-connected machines and devices with tools, services and actors (iv) seamless communication of information, knowledge, and decisions from and to the plant floor and (v) efficient interaction with value
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 Periodic Reporting for period 2 - OPENMIND (On-demand production of entirely customised minimally invasive medical devices) Result description The added value of the project is that Openmind will develop a flexible technology, metal free, compatibility with diagnostic images, transforming MRI from a sophisticated diagnostic technology to a powerful
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Description Added to this, 3 demonstrators will be set-up in three pilot lines for spreading results beyond the project end
Comments Europe - Draft R&I Objectives Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 1.6: Data ‘highways’ and data spaces in support of smart factories in dynamic value
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Comments In a time when raising or lowering the price of goods has no effect on the market, the solution has been found in the possibility of associating a service to the goods, thus providing a value-added
 Report on standards (a) used and (b) generated in Z-Fact0r Result description This way Z-Fact0r will support new regulations and standards to accelerate adoption of the new manufacturing systems, and hence bring value back to the EU.
 From Product/Services Systems (product centric approach) to Services through Product (solution oriented approach) Comments In a time when raising or lowering the price of goods has no effect on the market, the solution has been found in the possibility of associating a service to the goods, thus providing a value-added
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Comments Europe - Draft R&I Objectives Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 1.6: Data ‘highways’ and data spaces in support of smart factories in dynamic value
 AR In-Factory Platform Result description provide these services for all main types of procedures required by the project (Training, Assembly, Maintenance), and for the various situations in which these procedures and information content may be of added
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Description The integration of the proposed innovative product-service into production networks will increase the attractiveness of European companies by offering new added value services that make their products
Comments Manufacturing future products Manufacturing the products of the future Resource efficient, sustainable products Manufacturing future products Manufacturing the products of the future Supply chain and value
 Periodic Reporting for period 1 - ProRegio (Customer-driven design of product-services and production networks to adapt to regional market requirements) Result description to the customer comparable to effects of social media - increasing supplier loyalty by even stronger integration into the value adding process - offering new added value services to make products more
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Description Two pilot cases are planned to be deployed in the context of demonstrating the added value of the ICP4Life developments: Equipment Manufacturer: This pilot case will be implemented for evaluating
Comments Value Business model aspects ICP4LIFE platform provides added value in the design and engineering of PSS.
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Description The potential endless amounts of available information offer a rich ground for value creation in the product-service innovation chain.
Comments value.
 Periodic Reporting for period 1 - FALCON (Feedback mechanisms Across the Lifecycle for Customer-driven Optimization of iNnovative product-service design) Result description , service and process designers to learn and understand how networked intelligent products in IoT can be of advantage. (6) Serviceability, through the establishment of directions to develop proximity added
 RP 6.10 Customer focused products quality assessment standards and tools Comments value.
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Comments This value will rise to the 2 million of euro after 5 years from the experiment.
 Cloud-based modelling for improving resin infusion process Result comments Added Value Business model aspects "Thanks to the CloudiFacturing technology we can now take a look inside the VARTM process and switch our manufacturing process to a more safe, reliable
 Reduction of energy consumption (in %) Comments This value will rise to the 2 million of euro after 5 years from the experiment.
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Description One of the most imperative problems so far is to connect supply chain data and services between enterprises and to connect value chain data within a factory so that it can meaningfully support decision-making
Comments Added Value Business model aspects 1) Traffic Monitoring in IoT-enabled shopfloors, 2) Intra-factory Optimization & Decision support (i.e. forecasting services, trend analysis, predictive maintenance),
 Value chain pilot I Result title Value chain pilot I
 Value chain pilot II Result title Value chain pilot I
 Value chain pilot I Result title Value chain pilot I
 Value chain pilot II Result title Value chain pilot I
 Cost, Benefit and Risk Evaluation Result description If more companies join the ecosystem in the future and use COMPOSITION products and solutions, the overall added value of the project will increase even more.From a risk perspective, technical risks are
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Comments CAD and CAE models would be useful in mapping these values into a 3D visualisation.
 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 . - A Smart Object Network (SoN) has been developed to allow data acquisition in real time from different sensors/devices/machine and data aggregation, converting the data into value and sharing it through
 Human Machine Interfaces Comments CAD and CAE models would be useful in mapping these values into a 3D visualisation.
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Description Human skills are the main driver that enables producing high added value products in Europe. Thus the manufacturing processes are based on utilizing these skills.
Comments Research priorities RP 5.4 New ways of interaction and collaboration between workers and other resources in manufacturing systems Research priorities Domain 5: Human-centric manufacturing Supply chain and value
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Comments Value Business model aspects Enterprise Resource Planning Addressed processes Scheduling Addressed processes Factory Automation Addressed processes Monitoring Addressed processes Tracking and tracing
 Periodic Reporting for period 1 - Factory2Fit (Empowering and participatory adaptation of factory automation to fit for workers) Result description systematic way of defining the necessary levels of automation. 2) The Factory2Fit Dynamic Worker Model supports this universal approach, where new machine, task and worker related information can be easily added
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Comments systems Business model aspects of digital platform deployment Business model aspects Business models Business ecosystems associated to digital platforms Business model aspects Business ecosystems Added
 Demonstrator 1: Human-Robot Collaboration in Food packing Result comments Applications areas and sectors Human health and social work activities Applications areas and sectors Business ecosystems associated to digital platforms Business model aspects Business ecosystems Added