Identyfikatory
Warianty tytułu
Konferencja
7th International Conference System Safety: Human - Technical Facility - Environment, CzOTO 2018 (7 ; 12-14.12.2018 ; Zakopane, Poland)
Języki publikacji
Abstrakty
The objective of this paper is to present and verify the decision-making model which makes it possible to streamline the occupational hazards that tend to occur in the work environment, according to the adopted decision-making criteria. In this way, it will be possible to reduce inconsistencies of decision-makers deciding to focus their preventive measures upon the most important hazards, in the situation when the same assessments for hazards are obtained using classical matrix techniques. Within this model, a grey approach was proposed, which makes it possible for experts to use linguistic variables in such assessments. The following three risk assessment parameters were used as the criteria: probability of occurrence of hazards, level of their consequences, and a possibility to avoid them. The model was verified in a furniture manufacturing company on the basis of 17 key hazards assessment, which had been carried out by: an executive officer, a direct supervision employee, a work health and safety officer, and an expert coming from outside the company. This paper remedies some shortcomings in using the grey theory in occupational risk management, and constitutes an original application of this concept in the work safety area.
Wydawca
Rocznik
Tom
Strony
1--9
Opis fizyczny
Bibliogr. 10 poz., tab.
Twórcy
autor
- Czestochowa University of Technology, Poland
autor
- Lucian Blaga University of Sibiu, Romania
Bibliografia
- [1] Deng, J. L., 1982. Control problems of grey systems, Systems & Control Letters, 1(5), 288-294.
- [2] Holubová, V., 2016. Integrated Safety Management Systems, Polish Journal of Management Studies, 14(1), 106-118, DOI: 10.17512/pjms.2016.14.1.10
- [3] ICE/ISO 31010:2009 Risk management - Risk assessment techniques.
- [4] Liu, S., Forrest, J. Y. L., Lin, Y., 2010. Grey Systems: Theory and Applications, Springer and Verlag Berlin Heidelberg, Berlin Heidelberg.
- [5] Liu, S., Fang, Z., Yang, Y., Forrest, J., 2012. General grey numbers and their applications, Grey Systems: Theory and Application, 2(3), 341-349, DOI: 10.1108/20439371211273230
- [6] Main, B. W., 2012. Risk assessment: a review of the fundamental principles, Professional Safety, 49(12), 37-47.
- [7] Marhavilas, P. K., Koulouriotis, D., Gemeni, V., 2011. Risk analysis and assessment methodologies in the work sites: on a review, classification and comparative study of the scientific literature of the period 2000-2009, Journal of Loss Prevention in the Process Industry, 24(5), 477-523, DOI: 10.1016/j.jlp.2011.03.004
- [8] Rausand, M., 2013. Risk Assessment: Theory, Methods, and Applications, 115, John Wiley & Sons.
- [9] Tixier, J., Dusserre, G., Salvi, O., Gaston, D., 2002. Review of 62 risk analysis methodologies of industrial plants, Journal of Loss Prevention in the Process Industry, 15(4), 291-303, DOI: 10.1016/S0950-4230(02)00008-6
- [10] Tzeng, G. H., Huang, J. J., 2011. Multiple Attribute Decision Making: Methods and Applications, CRC Press.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b06a4a9c-8ceb-42d8-b60e-e1980a86e875