Szczegóły publikacji
Opis bibliograficzny
An IoT-based system for monitoring Overall Equipment Effectiveness (OEE) as a tool supporting the sustainable development of industrial technologies / Szymon ZIAJA // W: SGEM 2025 [Dokument elektroniczny] : proceedings of 25th international multidisciplinary Scientific GeoConference : 29 June - 6 July 2025, Albena, Bulgaria. Vol. 25, iss. 4.1 , Energy and clean technologies / eds. Baiba Rivza, Ildiko Tulbure, Oleksandr Trofymchuk. — Wersja do Windows. — Dane tekstowe. — [Sofia] : STEF92 Technology, [2025]. — ( International Multidisciplinary Scientific GeoConference SGEM ; ISSN 1314-2704 ). — e-ISBN: 978-619-7603-83-5. — S. 191–198. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://epslibrary.at/sgem_jresearch_publication_view.php?pag... [2025-12-22]. — Bibliogr. s. 198, Abstr. — Dostęp po zalogowaniu
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 165240 |
|---|---|
| Data dodania do BaDAP | 2026-01-12 |
| DOI | 10.5593/sgem2025/4.1/s17.25 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopismo/seria | International Multidisciplinary Scientific GeoConference SGEM |
Abstract
In the era of Industry 4.0, IoT technologies are fundamental for enabling real-time monitoring, operational transparency, and resource efficiency in industrial environments. This paper presents an IoT-based system for monitoring Overall Equipment Effectiveness (OEE), integrating machine-level data to assess availability, performance, and quality in production processes. By combining OEE metrics with real-time energy consumption data, the system supports circular economy goals through reduced energy usage per unit, minimized downtime, and predictive maintenance. The proposed approach helps identify process inefficiencies and areas of energy waste, contributing to sustainable production practices and environmental impact reduction. The modular and scalable architecture of the system allows adaptation across various industrial settings, including resource- and energy-intensive sectors. Although the data shown are illustrative and based on simulated values, they highlight the potential of IoT-driven monitoring as a tool for continuous improvement. The paper also proposes further research into the development of integrated KPIs that combine productivity and energy indicators to support sustainability-oriented decision-making.
