European research and innovation agenda for future simulation and forecasting technologies


Pathfinder investigates the role of simulation and forecasting technologies (S&FT) as a lever to increase manufacturing performance and proposes a roadmap capable to clearly point out key challenges for these technologies future development. Pathfinder is indeed intended to drive research and development activities in the Simulation and Forecasting Technologies arena, and, to this end, the roadmap develops, through the analysis of current state of practice compared with the future state envisioned, a final list of research priorities to provide guidance for the key stake-holders. The analysis carried out, along with the continuous feedback process adopted within the Pathfinder network, allowed to identify the following challenges: S&FT and Digital Continuity - Digital Continuity refers to the ability to maintain the digital information available all along the factory life-cycle, despite changes in purpose and tools, allowing data (the oil that fuels manufacturing) to be enriched and used as needed for that specific phase (from design, through use and maintenance, till dismissal/re-design). This challenge addresses: Interoperable simulation and forecasting systems; Digital continuity across product and factory lifecycle of engineering information; seamless use and reuse of engineering data; Reduce modelling effort; Modelling of complex problems; Multidisciplinary integrated modelling; Standardization. S&FT and Scalability - Scalability refers to the ability of an application to function efficiently when its context is changed in size or volume. This challenge addresses: Step-by-step integration and adoption of S&FT; S&FT solution scalable on different devices and platforms; from on-premises software to cloud-based services; S&FT and Synchronization of Digital and Real World - Synchronization of Digital and Real World refers to the convergence of physical world and virtual world, where the second must closely mirror the first and where the first generates an unprecedented volume of data to be taken care of by the latter. This challenge addresses: Self-adjustment of digital models triggered by smart objects (embedded intelligence – Cyber Physical System paradigm); Co-simulation in real-time; Multidisciplinary simulation models and tools, Handling of big-data. S&FT and Advanced Human-Machine Interfaces – Advanced Human-Machine Interfaces (HMI) must provide transparent insights into the digital-virtual world and must allow to interact with S&FT in an intuitive and natural way. This challenge addresses: intuitive, mobile, context-sensitive and collaborative user-interfaces. S&FT and Digital Consistency & Security - Digital Consistency & Security refers to the fact that data originating from and travelling along the factory lifecycle should be safe and shouldn't contradict each other. This is a significant challenge especially in the context of the digital continuity, vertical integration and horizontal integration, where distributed and heterogeneous data sources will be linked and made available in an open and interoperable manner. This challenge addresses: optimised provision of consistent data, data security and privacy. S&FT, Data and Knowledge - This challenge addresses: Big Data and Data Analytics; Ontologies definition; Relevant knowledge capture and reuse, also for training and education

More information
Web resources:
Start date: 01-06-2013
End date: 30-11-2014
Total budget - Public funding: 807 256,00 Euro - 739 946,00 Euro
Call topic: Application experiments for robotics and simulation (I4MS) (FoF.ICT.2013.7.1)
Cordis data

Original description

The European leadership and excellence in manufacturing are being significantly threatened by the huge economic crisis that hit the Western countries over the last years. More sustainable and efficient production systems able to keep pace with the market evolution are of paramount importance in the recovery plan aimed at innovating the European competitive landscape. An essential ingredient for a winning innovation path is a more aware and widespread use of ICT in manufacturing-related processes. The Pathfinder project investigates, in particular, the role of simulation and forecasting technologies as a lever to increase manufacturing performance and proposes the development of a roadmap capable to clearly point out key challenges for these technologies future development.Pathfinder project's objectives are:• to carry out an extensive analysis of the current framework and state-of-the art of the simulation and forecasting technologies taking into consideration main key players, industries and research initiatives;• to increase the understanding of how simulation and forecasting technologies can improve manufacturing performance and to develop an impact measuring tool;• to analyse current development and needs in order to identify possible gaps and areas that need to be further explored;• to identify technological challenges and drivers in line with the needs of the vision for the future of manufacturing;• to develop, with the support of experts, a reference document envisioning the advances for simulation and forecasting technologies that could also support the definition of further research streams in this area;• to increase knowledge and awareness about the use and impacts of simulation and forecasting technologies by fostering a cross-sector dialogue involving both potential users, experts and technologies producers.



Call topic


Update Date