Show last authors
1 === Welcome to EU H2020 vF Interoperation suppoRting buSiness innovaTion (FIRST) consortium ===
3 The EU FIRST project is a competitive consortium with profound knowledge and expertise in complex software systems and manufacturing automation, which aims to support the research and development of virtual factories. The research bases of Bournemouth, Groningen, Roma, Shanghai, and Modena will be used as a foundation for innovations to contribute to virtual interoperation of smart manufacturing in the area of Factory of the Future/Manufacturing 2.0. The objective of this project being to improve the competitiveness of our industrial partners and sustainability of the European manufacturing sector through establishing a collaborative research network. Within this research programme, 6 industrial researchers will get the opportunity to gather knowledge in academia while 22 academic researchers (six at Bournemouth University, four at University of Groningen, five at Uniroma, three at SSPU and four at Unimore) will absorb knowledge in industries.
5 The EU FIRST project provides new technology and methodologies to describe manufacturing assets; to compose and integrate existing services into collaborative virtual manufacturing processes in the form of virtual factories, and to deal with the evolution of changes. The consortium will provide new knowledge for GK, an enterprise software vendor and KM, a manufacturing software vendor, to inform newer training in the area of big data, cloud computing to both GK and KM, and promote innovation, while the academic partners will translate their research to facilitate better understanding virtual factories.
7 Aims of the EU FIRST project:
9 The EU FIRST project aims to develop new and lasting research collaborations by achieving transfer of knowledge between participating organisations. Collaborators will communicate frequently contribute to improving research and innovation potential at European and global levels, conducting and sharing research in the field of virtual factories and smart manufacturing. The consortium offers a multidisciplinary approach to virtual factories through linking scientists and worker/business/marketing/HR personnel together in the pursuit of the same goal, which is to advance the promotion of Factories of the Future through their particular backgrounds.
11 === MSCA RISE CALL ===
13 Marie Skłodowska-Curie Research and Innovation Staff Exchange Call (MSCA RISE) which opened on December 4th. The Research Executive Agency (REA) has prepared a video ([[a short version>>]] and [[a long version>>]]) to illustrates how Research and Innovation specialists from the academic and industrial sector can benefit from worldwide cooperation across disciplines and sectors. The Call will remain open until 2 April 2019. Check the [[Funding and Tenders Portal >>;freeTextSearchKeyword=;typeCodes=1;statusCodes=31094501,31094502;programCode=H2020;programDivisionCode=31047830;focusAreaCode=null;crossCuttingPriorityCode=null;callCode=Default;sortQuery=openingDate;orderBy=asc;onlyTenders=false]]for details.
16 === [[CFP: 1st International Workshop on Key Virtual Factory Enabling Technologies for 2019>>url:]] ===
18 The first International Workshop on Key Virtual Factory Enabling Technologies is a workshop run by the KET4DF2019 in conjunction with CAiSE. The event is designed to provide the opportunity for inspiration and cross-fertilization for the supporting research groups, including partners of the EU FIRST project. The workshop involves working on technological solutions for virtual factories and smart manufacturing. The workshop encourages the sharing of innovative papers from academic and industrial researchers, which cover a wide range of topics of interests in computer science and computer engineering fields. The event is set for the 4th June 2019 in Rome, Italy.
20 Please check the events for further details
22 Acknowledgement
24 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 734599
26 [[image:EU logo.png||alt="EU logo.PNG" style="vertical-align:top; float:left"]]
Copyright 2017-2018, FIRST Consortium - This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 734599