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Abstrakty
Indicators, different in terms of nature and grading scales, are used to recognise hazardous and harmful factors that affect human health. However, no single methodology is available for their assessment, and the variety of qualimetric assessment methods requires in-depth research, in part on optimality and efficiency. Therefore, this work aimed to conduct several scientific studies to obtain the results of the assessment in unified units of measurement, which would provide a generalised indicator of harmful factors at the workplace. The article proposes to use dependencies to assess indicators of harmful factors, considering the maximum, minimum, and optimal values as well as the shape parameter, the change of which produces various assessments in a dimensionless scale. A hierarchy analysis method was used to obtain reliable values with a small number of experts and determine the form parameter. These efforts resulted in the value of the overall index for harmful factors, which serves as grounds for decisions regarding further improvements in working conditions. The developed methodology was used to assess the safety of working conditions at a machine-building enterprise, and the results are presented in the article.
Rocznik
Tom
Strony
99--106
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
autor
- Ukrainian Engineering Pedagogics Academy, Ukraine
autor
- Ukrainian Engineering Pedagogics Academy, Ukraine
autor
- Mykolaiv National Agrarian University, Ukraine
autor
- WSB University, Poland
Bibliografia
- Azizi, M.H. (2010) Occupational Noise-induced Hearing Loss. International Journal of Occupational and Environmental Medicine, 3, 116-123.
- Barb, C.M., & Fita, D.N. (2019). A comparative analysis of risk assessment techniques from the risk management perspective. MATEC Web of Conferences, 290, 12003. doi: 10.1051/matecconf/201929012003
- Beinoraitė, Š., & Drejeris, R. (2014). Model for measuring the entrepreneurship of the population. Business: Theory and Practice, 15, 199-209. doi: 10.3846/btp.2014.20
- Bianchini, A., Donini, F., Pellegrini, M., & Saccani, C. (2017). An innovative methodology for measuring the effective implementation of an Occupational Health and Safety Management System in the European Union. Safety Science, 92, 26-33. doi: 10.1016/j.ssci.2016.09.012
- Bonner, J.C. (2010). Nanoparticles as a Potential Cause of Pleural and Interstitial Lung Disease. Proceedings of the American Thoracic Society, 7,138-141. doi: 10.1513/pats.200907-061RM
- Brauers, W., Ginevičius, R., & Podviezko, A. (2014). Development of a methodology of evaluation of financial stability of commercial banks. Panoeconomicus, 61, 349-367. doi: 10.2298/PAN1403349B
- Darabont, D.-C., Bejinariu, C., Baciu, C., & Bernevig-Sava, M.-A. (2017). Modern approaches in integrated management systems of quality, environmental and occupational health and safety. Quality – Acces to Succes, 20, 105-108.
- Derringer, G., & Suich, R. (1980). Simultaneous Optimization of Several Response Variables. Journal of Quality Technology, 12(4), 83-89.
- Ginevičius, R., & Podvezko, V. (2007). Complex assessment of sustainable development of state regions with emphasis on ecological and dwelling conditions. Ekologija, 53, 41-48.
- Ginevičius, R., & Podvezko, V. (2008). A feasibility study of multicriteria methods’ application to quantitative evaluation of social phenomena. Business: Theory and Practice, 9, 81-87. doi: 10.3846/1648-0627.2008.9.81-87
- Ginevičius, R., & Podviezko, A. (2013). The evaluation of financial stability and soundness of Lithuanian Banks. Ekonomska istraživanja: znanstveno stručni časopis, 26, 191-208. doi: 10.1080/1331677X.2013.11517616
- Ginevičius, R., Suhajda, K., & Šimkūnaitė, J. (2014). Lithuanian experience of quantitative evaluation of socioeconomic system position by multicriteria methods. Procedia – Social and Behavioral Sciences, 110, 952- 960. doi: 10.1016/j.sbspro.2013.12.941
- 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
- Gorbenko, N. (2013). Assessment of processes of enterprises quality management systems. Technology Audit And Production Reserves, 5(5(13)), 22-24. doi: 10.15587/2312-8372.2013.18378
- Hashemkhani Zolfani, S., Maknoon, R., & Zavadskas, E. K. (2015). Multiple Nash equilibriums and evaluation of strategies. New application of MCDM methods. Journal of Business Economics and Management, 16, 290-305. doi: 10.3846/16111699.2014.967715
- Holubova, V. (2016). Integrated safety management systems. Polish Journal of Management Studies, 14(1), 106-118. doi: 10.17512/pjms.2016.14.1.10
- Kim, N.K., Rahim, N.F.A., Iranmanesh, M., & Foroughi, B. (2019). The role of the safety climate in the successful implementation of safety management systems. Safety Science, 118, 48-56. doi: 10.1016/j.ssci.2019.05.008
- Krivka, A. (2014). Complex evaluation of the economic crisis impact on Lithuanian industries. Journal of Business Economics and Management, 15, 299-315. doi: 10.3846/16111699.2013.867277
- Nordlöf, H., Wiitavaara, B., Högberg, H., & Westerling, R. (2017). A cross-sectional study of factors influencing occupational health and safety management practices in companies. Safety Science, 95, 92-103. doi: 10.1016/j.ssci.2017.02.008
- Ramos, D., Afonso, P., & Rodrigues, M. A. (2020). Integrated management systems as a key facilitator of occupational health and safety risk management: A case study in a medium sized waste management firm. Journal of Cleaner Production, 262, 121346. doi: 10.1016/j.jclepro.2020.121346
- Rosa, L.V., Haddad, A.N., & Carvalho, de P.V.R. (2015). Assessing risk in sustainable construction using the Functional Resonance Analysis Method (FRAM). Cognition, Technology & Work, 17(4), 559-573. doi: 10.1007/s10111-015-0337-z
- Saaty, T. (1980). The analytic hierarchy process. New-York, United States: McGraw-Hill.
- Saaty, T.L. (2005). The analytic hierarchy and analytic network processes for the measurement of intangible criteria and for decision-making. In J. Figueira, S. Greco, & M. Ehrgott (Eds.), Multiple criteria decision analysis: State of the art survey (pp. 345-408). Springer.
- Saracino, A., Moreno, V.C., Antonioni, G., Spadoni, G., & Cozzani, V. (2016). Application of a self-assessment methodology for occupational safety to biogas industry. Chemical Engineering Transactions, 53, 247-252. doi: 10.3303/CET1653042
- Silva, F., Arezes, P., & Swuste, P. (2019). Risk management. Nanotechnology in Eco-Efficient Construction, 755- 784. doi:10.1016/b978-0-08-102641-0.00029-3
- Šimelytė, A., & Antanavičienė, J. (2013). The effect of investment promotion on FDI flows: A case of the Baltic States. Business: Theory and Practice, 14, 200-208. doi: 10.3846/btp.2013.21
- Suuronen, K., Jolanki, R., Luukkonen, R., Alanko, K., & Susitaival, P. (2007). Self‐reported skin symptoms in metal workers. Contact Dermatitis, 57, 259-264. doi: 10.1111/j.1600-0536.2007.01207.x
- Tabor, J. (2018). A grey-based decision-making approach to the improvement of OHS management system. Polish Journal of Management Studies, 18, 389-402. doi: 10.17512/pjms.2018.18.1.29
- Tchiehe, D.N., & Gauthier, F. (2017). Classification of risk acceptability and risk tolerability factors in occupational health and safety. Safety Science, 92, 138-147. doi: 10.1016/j.ssci.2016.10.003
- 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
- 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-615e1b1a-87bc-4520-96fa-9b7e1d26e1e6