X-ACT | Expert cooperative robots for highly skilled operations for the factory of the future
01-10-2012
-30-09-2015
Projects overview
5 items found
NIMBLE | Collaboration Network for Industry, Manufacturing, Business and Logistics in Europe
01-10-2016
-31-03-2020
Show more information
Business model aspects
Business ecosystems
Comment: Grow it as a real B2B Internet platform for European impact. Enable formation of federated platforms for different regions and/or industrial sectors/markets.
Digital collaboration marketplace
Big tools available through PaaS modality. Cloud service / app development facilities for software developers.
Note: ecosystem includes also the platform provider, 3rd party software as a service, financial services, smart contracts, etc.
OpenHybrid | Developing a novel hybrid AM approach which will offer unrivalled flexibility, part quality and productivity
01-10-2016
-30-09-2019
ENCOMPASS | ENgineering COMPASS
01-10-2016
-29-02-2020
UPTIME | UNIFIED PREDICTIVE MAINTENANCE SYSTEM
01-09-2017
-28-02-2021
Show more information
Business model aspects
Business ecosystems
Comment:
The UPTIME solution, consisting of extended e-maintenance services and tools, will be deployed and validated during the first wave of innovation within the manufacturing companies participating in the consortium, and its results will be diffused during the second wave of innovation including members beyond the UPTIME consortium; i.e. it will build up and expand vibrant ecosystems of providers and users of new e-maintenance, digital technologies and will foster exchanges between these providers and users.
To grow and sustain the ecosystem, UPTIME will encourage collaborative activities including learning and knowledge sharing activities, and networking events. It will design activities with recognition and awards attached to encourage desired behaviour and participation with the new e-maintenance services.
To sustain the ecosystem, UPTIME will cultivate and assess the knowledge and new forms of e-maintenance services and tools created by the ecosystem to inform new strategies, activities, roles, technologies, and business models for the future. It will provide opportunities for participants to play new roles and experiment with new activities. It will ensure that the UPTIME procedures, practices, and the technology support are available to sustain the ecosystem over time, and establish new roles related to harvesting and creating best practices in the ecosystem.
UPTIME will seek to strengthen the competitiveness of European industry by effectively building up and expanding a vibrant EU technological ecosystem for the manufacturing companies’ maintenance needs. The structure and membership of the UPTIME ecosystem will ensure that manufacturing companies of the consortium take on a driving role in the action, i.e. leading the innovation activities and liaising with end users, ensuring that the work responds to a clear market demand. Further information: https://www.uptime-h2020.eu/index.php/partner-programme/
Comment:
UPTIME aims to exploit the full potential of predictive maintenance management and its interactions with other industrial operations by investigating a unified methodology and by implementing a unified information system addressing the predictive maintenance strategy.
UPTIME will implement scalable information processing technologies and user interaction with the system, e.g. by providing visualization of diagnostics, prognostics, recommendations, etc. UPTIME will be applicable at the level of component, machine and production system, depending on the placement of sensors throughout the production lifecycle and the data availability in the manufacturing company’s systems (e.g. Enterprise Resources Planning-ERP, Manufacturing Execution System-MES). Within UPTIME, there will be interactions between the various emaintenance services and the e-operations data and information from the manufacturing companies’ systems in order to synchronise maintenance with production, quality and logistics management.
SIEMENS Process Simulate.