Technológ - Ročník 17.; Číslo 4/2025

Permanent URI for this collectionhttps://drepo.uniza.sk/handle/hdluniza/1344

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Author: search.filters.author.Biňasová, VladimíraEnd date: 2025

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    Modernization of company to digital processes by implementing a new data approach for industrial operations
    (University of Žilina, 2025) Biňasová, Vladimíra; Mičieta, Branislav; Kasajová, Marta; Zuzik, Ján
    This paper focuses on the critical role of data as a key asset in the modern enterprise. The proposed approach involves the creation of an integrated data architecture that enables the collection, processing, analysis and visualization of real-time data from various industrial sources (e.g. IoT sensors, manufacturing systems, ERP). A key aspect is the application of advanced analytical methods, including machine learning, for predictive maintenance, quality optimization and energy consumption management.
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    Využitia umelej inteligencie pre tvorbu analýzy FMEA
    (University of Žilina, 2025) Bubeník, Peter; Rakyta, Miroslav; Buzalka, Martin; Biňasová, Vladimíra
    The identification and assessment of risks in manufacturing processes FMEA (Failure Modes and Effects Analysis) is proving to be an effective maintenance tool. With the advent of artificial intelligence (AI), new possibilities for a more intelligent and predictive approach to maintenance are emerging. This article deals with the principles of FMEA and the use of artificial intelligence.
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    Overview of emerging technologies advancing Industry 4.0
    (University of Žilina, 2025) Biňasová, Vladimíra; Mičieta, Branislav; Gašo, Martin; Furmannová Beáta
    This paper summarizes the key technological pillars that define the concept of Industry 4.0 (the fourth industrial revolution) and analyzes their transformative potential for modern manufacturing and industrial operations. Industry 4.0 is characterized by the fusion of digital and physical technologies, leading to the creation of intelligent, fully connected and flexible manufacturing systems.