Skills development
The activity carried out, as part of the CUP B98I24002620009 project, is characterized by two services aimed at improving skills, methods and tools applied to Process Engineering and Information Systems for Knowledge Management (KM) and GoToMarket).
Innovation and knowledge represent a fundamental value for EnginSoft which intends to improve its processes and IT systems for optimal management of customer needs with the implementation of Knowledge Management and Marketing Intelligence systems Based on the Innovation Health Check carried out, the interventions suggested and developed are:
EnginSoft's 40-year history involves a wealth of knowledge, methodologies, tools and documents that can be enhanced and perceived by the market with KM processes and tools, supported by the latest Artificial Intelligence algorithms (e.g. LLM). More generally, the project is part of a servitization strategy, aimed at defining proposals for digital services capable of enhancing internal engineering know-how, expanding the market of SMEs potentially interested in benefiting from analyzes and simulations in the engineering domains.
Fondo Europeo di Sviluppo Regionale - Programma 2021-2027
Programma 2021-2027 PR Veneto FESR 2021-2027
Obiettivo Specifico 1.4 “Sviluppare le competenze per la specializzazione intelligente, la transizione industriale e l'imprenditorialità”
Azione 1.4.1 “Supporto allo sviluppo di competenze per la specializzazione intelligente e la transizione industriale”
Importo finanziamento € 29.500,00 €
Some of our competences in research and technology transfer
Research project
Attraverso un innovativo approccio Digital Twin in ambito Prognostics Health Monitoring (PHM) è possibile l’individuazione di comportamenti anomali dei sistemi monitorati, che potrebbero portare a rotture impreviste durante il servizio, aumentando la capacità di diagnostica di guasto. Il monitoraggio consente una migliore pianificazione degli interventi manutentivi potendo valutare costi dell’intervento ed efficienza residua del sistema.
Research project
The ISAF – Integrated Smart Assembly Factory – project was created to address the problem of joining two or more large parts/structures made of composite materials and therefore affected by the natural variability of the manufacturing process. The variability creates empty space (“gap”) between the parts of the joint .
