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Assistant: Learning and robust decision support system for agile manufacturing environments
Conference ObjectAbstract: The European project ASSISTANT will provide a set of AI-based digital twins that helps process enginPalabras claves:Artificial Intelligence, data analytics, Decision aid, Digital twins, Process and production planning, Real-time control, reconfigurable manufacturing systems, schedulingAutores:Beldiceanu N., Dolgui A., Eduardo Vyhmeister, Gonnermann C., Gonzalez-Castañé G., Kousi N., Meyers B., Östberg P.O., Prud'homme J., Thevenin S.Fuentes:scopusDomain Models and Data Modeling as Drivers for Data Management: The ASSISTANT Data Fabric Approach
Conference ObjectAbstract: To develop AI-based models capable of governing or providing decision support to complex manufacturiPalabras claves:adaptive manufacturing, Ai, Data Base, Data Fabric, data lake, data modeling, Domain Models, Knowledge GraphAutores:Castane G.G., Eduardo Vyhmeister, Meyers B., Östberg P.O., Van Noten J.Fuentes:scopusLessons learn on responsible AI implementation: the ASSISTANT use case
Conference ObjectAbstract: Currently, pioneer companies are working hard to construct applied ethical frameworks in different sPalabras claves:Ai, AI en manufacturing, AI ethics, design methodology for HMS, Human centered automation, responsible AI, standardisationAutores:Buchholz J., Castane G.G., Eduardo Vyhmeister, Östberg P.O.Fuentes:scopusThe ASSISTANT project: AI for high level decisions in manufacturing
ArticleAbstract: This paper outlines the main idea and approach of the H2020 ASSISTANT (LeArning and robuSt deciSIonPalabras claves:Artificial Intelligence, data analytics, Digital twins, Process and production planning, reconfigurable manufacturing systems, scheduling and real-time controlAutores:Castane G.G., Dolgui A., Eduardo Vyhmeister, Kousi N., Meyers B., Östberg P.O., Thevenin S.Fuentes:scopus