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Ontologiczne zarządzanie bezpieczeństwem i higieną pracy dla pracowników z niepełnosprawnościami
Języki publikacji
Abstrakty
This study introduces an ontology-based framework designed to enhance occupational safety and health (OSH) management for workers with disabilities. The framework organizes safety and health information using knowledge maps tailored to specific needs. It integrates the health and safety management-ontology (HSM-Onto) system to improve processes such as risk identification, evaluation, and mitigation. Key functionalities include real-time monitoring, automated job hazard analysis (JHA), and personalized safety plans. The framework’s novelty lies in its ability to combine ontological modeling with advanced monitoring systems to address accessibility challenges in workplace safety. A mixed-methods approach was used to evaluate its effectiveness, including data collection from simulated and real workplace environments. Results demonstrate a measurable reduction in hazard response times, improved accuracy in risk assessments, and increased workplace safety inclusivity. The findings suggest this approach has the potential to transform safety practices by addressing diverse worker needs while maintaining high standards of risk management. This research provides a foundation for adopting ontology-based safety management in various industries, offering a scalable solution that bridges gaps in traditional OSH practices.
Niniejsze badanie wprowadza ramy oparte na ontologii, zaprojektowane w celu ulepszenia zarządzania bezpieczeństwem i higieną pracy (BHP) dla pracowników z niepełnosprawnościami. Ramy te organizują informacje dotyczące bezpieczeństwa i zdrowia za pomocą map wiedzy dostosowanych do specyficznych potrzeb. System integruje ontologiczny system zarządzania BHP (HSM-Onto) w celu usprawnienia procesów takich jak identyfikacja, ocena i minimalizacja ryzyka. Kluczowe funkcjonalności obejmują monitorowanie w czasie rzeczywistym, zautomatyzowaną analizę zagrożeń zawodowych (JHA) oraz spersonalizowane plany bezpieczeństwa. Nowatorskość tych ram polega na połączeniu modelowania ontologicznego z zaawansowanymi systemami monitorowania w celu rozwiązania problemów dostępności w zakresie bezpieczeństwa w miejscu pracy. W celu oceny skuteczności zastosowano podejście mieszane, obejmujące zbieranie danych z symulowanych i rzeczywistych środowisk pracy. Metodologia uwzględniała modelowanie scenariuszy ryzyka oraz metryki wydajności w celu oceny rezultatów. Wyniki pokazują mierzalne skrócenie czasu reakcji na zagrożenia, poprawę dokładności ocen ryzyka oraz zwiększenie inkluzywności w zakresie bezpieczeństwa w miejscu pracy. Wyniki sugerują, że podejście to ma potencjał do transformacji praktyk bezpieczeństwa, poprzez zaspokojenie różnorodnych potrzeb pracowników przy jednoczesnym utrzymaniu wysokich standardów zarządzania ryzykiem. Badanie to stanowi podstawę do wdrażania zarządzania bezpieczeństwem opartego na ontologii w różnych branżach, oferując skalowalne rozwiązanie, które eliminuje luki w tradycyjnych praktykach BHP. Przyszłe zastosowania mogą rozszerzyć użyteczność tych ram na szerszy kontekst zawodowy, wspierając tworzenie bezpieczniejszych i bardziej inkluzywnych miejsc pracy.
Czasopismo
Rocznik
Tom
Strony
24--41
Opis fizyczny
Bibliogr. 36 poz., rys., tab.
Twórcy
autor
- National Research and Development Institute on Occupational Safety - I.N.C.D.P.M. "Alexandru Darabont" Bucharest, Romania
autor
- Babes Bolyai University from Cluj, Cluj Napoca, Romania
autor
- National Research and Development Institute on Occupational Safety - I.N.C.D.P.M. "Alexandru Darabont" Bucharest, Romania
autor
- Faculty of Oil and Gas Engineering, Oil-Gas University of Ploiesti, Romania
autor
- National Research and Development Institute on Occupational Safety - I.N.C.D.P.M. "Alexandru Darabont" Bucharest, Romania
Bibliografia
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- 28.Sharma, A., Zsarnoczky, M. and Dunay, A., (2018). An empirical study on the influences of management's attitudes toward employees with disabilities in the hospitality sector. Polish Journal of Management Studies, 18(2), 311-323.
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- 35.Zhang, S., Teizer, J. and Boukamp, F., (2012). Automated ontology-based job hazard analysis (JHA) in building information models (BIM). In Proceedings of CIB W099 International Conference on Modelling and Building Health and Safety (pp. 74-91). Singapore, Singapore.
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9252ea12-c7ee-4559-84f3-7926cb6fa7f7
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