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The article considers several modern scientific papers substantiating the need for assessing workplace safety and focusing on methods applied for the quantitative assessment of working conditions. The analysis found unsolved problems in qualimetry, which could lead to the development of new practical and generally applicable methods to effectively assess working conditions. The analysis proved the relevance of the topic and helped to determine the aim of the article, i.e., the development of a methodology for the quantitative assessment of working conditions in industries, considering harmful production factors. An exponential distribution, which belongs to the theory of extreme statistics, was proposed for the transition of heterogeneous single indicators of harmful factors into a dimensionless scale. Affine transformations were used to combine dissimilar scales, making it possible to divide segments on dissimilar scales into equal proportions. The article proposes a step-by-step method for determining a complex indicator of working conditions in industries. The proposed methodology allows management decisions that minimise the deviation in actual values of harmful factors from the optimal ones. The developed technique was tested at one specific metallurgical production site.
Rocznik
Tom
Strony
107--114
Opis fizyczny
Bibliogr.18 poz., tab., wykr.
Twórcy
autor
- Ukrainian Engineering Pedagogics Academy, Ukraine
autor
- Ukrainian Engineering Pedagogics Academy, Ukraine
autor
- Ukrainian Engineering Pedagogics Academy, Ukraine
autor
- Ukrainian Engineering Pedagogics Academy, Ukraine
autor
- Ukrainian Engineering Pedagogics Academy, Ukraine
Bibliografia
- Azgaldov, A. A., & Rayhman, E. P. (1973). O kvalimetrii. [About the Qualimetry]. Moscow: Izdatelstvo standartov.
- Beinoraitė, Š., & Drejeris, R. (2014). Model for measuring the entrepreneurship of the population. Business: Theory and Practice, 15(3), 199-209. https://doi.org/10.3846/btp.2014.20
- Chebotarev, A. G., & Sementsova, D. D. (2021) Comprehensive assessment of working conditions and occupational disease rates at mining and metallurgical enterprises. Gornaya Promyshlennost, 1, 114-119. doi: 10.30686/1609-9192-2021-1-114-119
- Cherniak, O., Trishch, R., Kim, N., & Ratajczak, S. (2020). Quantitative assessment of working conditions in the workplace. Engineering Management in Production and Services, 12(2), 99-106. doi: 10.2478/emj-2020-0014
- Ginevičius, R., Trishch, H., & Petraškevičius, V. (2015). Quantitative assessment of quality management systems processes. Economic Research Ekonomska Istraživanja, 28(1), 1096-1110. doi: 10.1080/133167 7X.2015.1087676
- Gnedenko, B. (1943). Sur La Distribution Limite Du Terme Maximum D’Une Serie Aleatoire [On The Limit Distribution Of The Maximum Term of a Random Series]. Annals of Mathematics, 44, 423-453. doi: 10.2307/1968974
- Gul, M. &, Guneri, A. F. (2018). A review of occupational health and safety risk assessment approaches based on multi-criteria decision-making methods and their fuzzy versions. Human and Ecological Risk Assessment: An International Journal, 24(7), 1723-1760. doi:10.1080/10807039.2018.1424531
- Gul, M. (2016). A fuzzy multi criteria risk assessment based on decision matrix technique: A case study for aluminum industry. Journal of Loss Prevention in the Process Industries, 40, 89-100. doi: 10.1016/j.jlp.2015.11.023
- Harrington, E. C. Jr. (1965). The desirability function. Industrial Quality Control, 21, 494-498.
- Kukhar, V., Yelistratova, N., Burko, V. Nizhelska,Y., & Aksionova, O. (2018). Estimation of occupational safety risks at energetic sector of Iron and Steel Works. International Journal of Engineering & Technology, 7, 216-220.
- Levanchuk, L. A., Kopytenkova, O. I., & Eremin, G. B. (2020) Methodological approaches to assessing the working conditions of locomotive crew drivers based. Russian Journal of Occupational Health and Industrial Ecolog, 8, 525-531. doi: 10.31089/1026-9428-2020-60-8-525-531
- Schulte, P. A. (2005) Characterizing the Burden of Occupational Injury and Disease. Journal of Occupational and Environmental Medicine, 47. 607-622. doi: 10.1097/01.jom.0000165086.25595.9d
- Schulte, P. A., Delclos, G., Felknor, S. A., & Chosewood, L. C. (2019). Toward an Expanded Focus for Occupational Safety and Health: A Commentary. International Journal of Environmental Research and Public Health, 16, 4946. doi: 10.3390/ijerph16244946
- Shkrabak, V., Kalugin, A., & Averyanov, Y. (2020). Assessing Effectiveness of Technical Measures for Improving Working Conditions of Wheeled Vehicle Operators. Proceedings of the 5th International Conference on Industrial Engineering (ICIE 2019), 1, 29-39. doi:10.1007/978-3-030-22041-9_4
- Trisch, R., Gorbenko, E., Dotsenko, N., Kim, N., & Kiporenko, A. (2016). Development of qualimetric approaches to the processes of quality management system at enterprises according to international standards of the ISO 9000 series. Eastern-European Journal of Enterprise Technologies, 4/3(82), 18-24. doi: 10.15587/1729-4061.2016.75503
- Vavrek, R., Adamisin, P., & Kotulic, R. (2017). Multi-criteria evaluation of municipalities in slovakia - case study in selected districts. Polish Journal of Management Studies, 16(2), 290-301. doi: 10.17512/pjms.2017.16.2.25
- Yarahmadi, R., Shakouhi, F. S., Taheri, F., & Moridi, P. (2016). Prioritizing occupational safety and health indexes based on the multi criteria decision making in construction industries. Iran Occupational Health, 12(6), 39-47.
- Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision making. Technological and Economic Development of Economy, 16(2), 159-172. doi: 10.3846/tede.2010.10
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1305454c-ea3c-45ac-ab07-f58a01f29b1b
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