Projects overview
iPRODUCE | A Social Manufacturing Framework for Streamlined Multi-stakeholder Open Innovation Missions in Consumer Goods Sectors
01-01-2020
-30-06-2023
ROSSINI | RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing
01-10-2018
-31-03-2022
UPTIME | UNIFIED PREDICTIVE MAINTENANCE SYSTEM
01-09-2017
-31-08-2020
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/
The Value Proposition and the Market Positioning of UPTIME are the most important pillar for the success of
the exploitation activities. The objective is to have a clear understanding of the Value Chain, the structure of the competition, the segmentation of the market, its evolutions and its drivers, the main business expectations and constraints, and finally the customer problems and pains. From this accumulated knowledge, the relevance of the UPTIME solution will be evaluated and validated through direct contact with end users beyond the industrial partners of the Consortium (interviews, surveys and/or focus groups).
UPTIME seeks to strengthen the competitiveness of European industry by effectively building up and expanding a vibrant EU technological ecosystem for the manufacturing companies’ maintenance needs.
Within UPTIME, the Predictive Maintenance Management Model and Integrated System are going to be validate in the three business cases and industries, ensuring the cross-sectorial evaluation of the performance, usability and applicability of the UPTIME methods and tools in scenarios engaging various machine types.
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.
The primary market segment UPTIME targets is the Manufacturing Industry. First of all, the opportunity is attractive: it is a quite large market where the economic impact of predictive maintenance is high and little has been deployed so far. Second, the competitive advantage of UPTIME is high: its Value Proposition fits very well with the needs of the customers, the expertise of the members of the consortium is strong in this domain and the 3 Business Cases are relevant.
Moreover, three secondary market segments because the technologies involved in UPTIME can be deployed in their contexts:
- Process industries: any downtime results in immediate and irreversible loss of production without any possibility to compensate
- Oil & gas / Utilities industries: the same rationale as with the process industry
- Aerospace & Defense MRO: major players are currently seeking to implement predictive maintenance to optimize the Total Cost of Ownership of the systems
UPTIME’s strategy is to focus its efforts on the core market, the manufacturing industry, but with a pragmatic approach regarding the 3 secondary segments: follow-up market demand, anticipate specific expectations and seize opportunities.
PreCoM | Predictive Cognitive Maintenance Decision Support System
01-11-2017
-31-10-2020
SERENA | VerSatilE plug-and-play platform enabling remote pREdictive mainteNAnce
01-10-2017
-30-09-2020
The SERENA framework brigns together equipment manufacturers, maintenance services providers, production copmanies and operators which all may interact through its cloud-based digital platform.
OPTIMAL | Automated Maskless Laser Lithography Platform for First Time Right Mixed Scale Patterning
01-10-2022
-30-09-2026
INEDIT | open INnovation Ecosystems for Do It Together process
01-10-2019
-31-03-2023
Moreover, these innovative networked local manufacturing competences and production facilities across the EU will solve ethical concerns within the manufacturing network. INEDIT intends to demonstrate, through its twin - digital and physical - platform, the potential innovation around social manufacturing within the circular economy in designing globally while producing locally.
X-ACT | Expert cooperative robots for highly skilled operations for the factory of the future
01-10-2012
-30-09-2015
Large manufacturing companies and SME manufacturing companies. Robotic system integration companies.
Z-Fact0r | Zero-defect manufacturing strategies towards on-line production management for European factories
01-10-2016
-31-03-2020
The Z-Fact0r business eco-system will comprise:
-R&D Collaboration
-Industry associations
-Sensor manufacturing companies
-Potential suppliers: Technology suppliers, Technology integrators, ICT suppliers
-Sector experts: Consulting firms,
-Investors in manufacturing
The following target clients have been identified:
-Manufacturing SMEs and large companies, probably from sectors with high defective rates, or with lower ones but with customers that demand tight tolerances in certain parameters
-Metal processing and manufacturing industries
-Plastics and Rubber Manufacturers
-Automotive, Aeronautic, (Micro) Electronics, Medical Industry
-Companies that implement monitoring systems and/or companies in the field of production optimization
CREMA | Cloud-based Rapid Elastic MAnufacturing
01-01-2015
-01-01-2018
vf-OS | Virtual Factory Open Operating System
01-10-2016
-30-09-2019
DISRUPT | Decentralised architectures for optimised operations via virtualised processes and manufacturing ecosystem collaboration
01-09-2016
-31-08-2019
DIGICOR | Decentralised Agile Coordination Across Supply Chains
01-10-2016
-30-09-2019
Daedalus | Distributed control and simulAtion platform to support an Ecosystem of DigitAL aUtomation developerS
01-10-2016
-30-09-2019
ConnectedFactories | Industrial scenarios for connected factories
01-09-2016
-31-08-2019
NIMBLE | Collaboration Network for Industry, Manufacturing, Business and Logistics in Europe
01-10-2016
-30-09-2019
IBM Bluemix / Cloudfoundry is our initial cloud platform. Google, Amazon, Alibaba are reference points concerning de facto product models, catalogues. FIWARE is a reference point concerning available software components.
ENCOMPASS | ENgineering COMPASS
01-10-2016
-30-09-2019
HORSE | Smart integrated Robotics system for SMEs controlled by Internet of Things based on dynamic manufacturing processes
11-01-2015
-30-04-2020
FACTS4WORKERS | Worker-Centric Workplaces in Smart Factories
01-12-2014
-01-12-2018
Main business model is based on providing conultancy for implementing ICT solutions for blue collar workers
SatisFactory | A collaborative and augmented-enabled ecosystem for increasing SATISfaction and working experience in smart FACTORY environments
01-01-2015
-31-12-2017
The ROSSINI Modular KIT is conceived to contribute in the HRC application development on several levels. For this reasons, partnerships with third parties (i.e, external integration and solution's adoption by system integrators) are key for the future development and dissemination of the solution