Obiettivo """Workshop managers face daily the challenge to execute their production plans at the lowest product rejection rates and costs. Rejections can be due to multiple kinds of defects in the manufactured piece. Each kind of defect is co-related to the particular parameters of production and the surrounding environment that have converged during the manufacturing process of the defective piece. At modern workshops the number of converging parameters during production can range from several hundreds to thousands. In serial production, defects are more prevalent at the beginning of the production of each new reference, until all production parameters are correctly set-up, but it’s also frequent to suffer involuntary, environmental or unavoidable modifications of parameters that also cause defective production.The problem of defective production is particularly relevant the higher the value of the workpieces produced and the shorter the production series. The evolution of the industrial production worldwide, and specially in advanced economies like Europe, tend towards a higher customization of products, thus to shorter series of higher cost and value pieces, making the problem of defective production a increasingly relevant issue for the competitiveness of industry.VEIGALAN has developed WORKSHOP4.0 a tool based on big data and artificial intelligence technologies that forecasts in real time the optimum working conditions for production processes involving material melting or fluency. WORKSHOP4.0 is capable to forecast the optimum production parameters at the beginning of a new series and re-calculate the new optimum parameters when unexpected, even un-noticed, defect producing events happen.""" Campo scientifico natural sciencescomputer and information sciencesartificial intelligenceengineering and technologymechanical engineeringmanufacturing engineeringnatural sciencescomputer and information sciencesdata sciencebig datanatural scienceschemical sciencesinorganic chemistrypost-transition metalssocial scienceseconomics and businessbusiness and managementbusiness models Programma(i) H2020-EU.2.1.2. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Nanotechnologies Main Programme H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument Argomento(i) NMP-25-2015-1 - Accelerating the uptake of nanotechnologies, advanced materials or advanced manufacturing and processing technologies by SMEs Invito a presentare proposte H2020-SMEInst-2014-2015 Vedi altri progetti per questo bando Bando secondario H2020-SMEINST-1-2015 Meccanismo di finanziamento SME-1 - SME instrument phase 1 Coordinatore VEIGALAN ESTUDIO 2010 Contribution nette de l'UE € 50 000,00 Indirizzo ASKATASUN ETORBIDEA 16 48200 DURANGO Spagna Mostra sulla mappa PMI L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione. Sì Regione Noreste País Vasco Bizkaia Tipo di attività Private for-profit entities (excluding Higher or Secondary Education Establishments) Collegamenti Contatta l’organizzazione Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 71 429,00
