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2024 | nr 2 | 118--127
Tytuł artykułu

Assessment of the Occupational Health and Safety Management System by Qualimetric Methods

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Requirements of the international standard ISO 45001:2018 were analysed to identify the need for monitoring, measuring and analysing the functioning of the occupational health and safety management system. This analysis has made it clear that the effectiveness of the development and implementation of the occupational health and safety management system depends on the assessment methodology. The study focused on existing studies and publications on the assessment of processes, including those related to occupational safety, assessment methods or qualitative methods, and statistical methods used for assessment. As a result, the topic has been proven relevant, and the goal of the article was determined: to study the possibility of using qualimetric methods for evaluating the labour safety management system. A survey was conducted among workers at a machine-building enterprise to evaluate the occupational health and safety management system. Verbal scales were proposed to process the study results as they allow quantitative ratings to be obtained on the coded scale of the desirability function. The study result is a technique for obtaining a quantitative assessment of the occupational health and safety management system. This technique is universal and can be applied to any enterprise. It can also be used to make managerial decisions regarding the improvement of the occupational health and safety management system. (original abstract)
Rocznik
Numer
Strony
118--127
Opis fizyczny
Twórcy
  • National Aerospace University, Kharkov, Ukraine; Mykolas Romeris University, Vilnius, Lithuania
  • Ukrainian Engineering Pedagogics Academy, Kharkov, Ukraine
autor
  • Brno University of Technology, Czech Republic
  • Vilnius Gediminas Technical University, Lithuania
Bibliografia
  • Abdullah, L., Chan, W., & Afshari, A. (2019). Application of PROMETHEE method for green supplier selection: a comparative result based on preference functions. Journal of Industrial Engineering International, 15, 271-285. doi: 10.1007/s40092-018-0289-z
  • Ahmed, T., Hoque, A.S.M., Karmaker, C.L., & Ahmed, S. (2023). Integrated approach for occupational health and safety (OHS) risk Assessment: An Empirical (Case) study in Small enterprises. Safety Science, 164, 106143. doi:10.1016/j.ssci.2023.106143
  • Chakraborty, S. (2022). TOPSIS and Modified TOPSIS: A comparative analysis. Decision Analytics Journal, 2, 100021. doi: 10.1016/j.dajour.2021.100021
  • 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
  • Divya, C., Raju, L.S., & Singaravel, B. (2020). A Review of TOPSIS Method for Multi Criteria Optimization in Manufacturing Environment. Intelligent Techniques and Applications in Science and Technology. Learning and Analytics in Intelligent Systems, 12, 719-727. doi: 10.1007/978-3-030-42363-6_84
  • Ginevičius, R., Trišč, R., Remeikienė, R., Zielińska, A., & Strikaitė-Latušinskaja, G. (2022b). Evaluation of the condition of social processes based on qualimetric methods: The COVID-19 case. Journal of International Studies, 15(1). 230-249. doi: 10.14254/2071-8330.2022/15-1/15
  • Ginevičius, R., Trishch, H. & Petraškevičius, V. (2015). Quantitative assessment of quality management systems' processes. Economic Research - Ekonomska Istraživanja, 28(1), 1096-1110. doi: 10.1080/1331677X.2015.1087676
  • Ginevičius, R., Trishch, R., Bilan, Y., Lis, M., & Pencik, J. (2022a). Assessment of the Economic Efficiency of Energy Development in the Industrial Sector of the European Union Area Countries. Energies, 15(9), 3322. doi: 10.3390/en15093322
  • Ginevicius, R., Trishch, R., Remeikiene, R., & Gaspareniene, L. (2021). Complex evaluation of the negative variations in the development of Lithuanian municipalities. Transformations in Business and Economics, 20(2), 635-653.
  • ISO 45001:2018. Occupational health and safety management systems - Requirements with guidance for use. Retrieved from https://www.iso.org/standard/63787.html
  • Manurung, S.V.B., Larosa, F.G.N., Simamora, I.M.S., Gea, A., Simarmata E.R., & Situmorang, A. (2019). Decision Support System of Best Teacher Selection using Method MOORA and SAW. 2019 International Conference of Computer Science and Information Technology (ICoSNIKOM), Medan, Indonesia, 1-6. doi: 10.1109/ICoSNIKOM48755.2019.9111550
  • Mishra, A.R., & Rani, P. (2021). Multi-criteria healthcare waste disposal location selection based on Fermatean fuzzy WASPAS method. Complex and Intelligent Systems, 7. 2469-2484. doi: 10.1007/s40747-021-00407-9
  • Ozgur, Y., Yakup, T., Nisa, C.E., & Cengiz, K. (2020). Interval-valued Pythagorean Fuzzy EDAS method: An Application to Car Selection Problem. Journal of Intelligent & Fuzzy Systems, 38(4), 4061-4077. doi: 10.3233/JIFS-182667
  • Stefanovića, V., Uroševićb, S., Mladenović-Ranisavljevićc, I., & Stojilkovićd, P. (2019). Multi-criteria ranking of workplaces from the aspect of risk assessment in the production processes in which women are employed. Safety Science, 116, 116-126. doi: 10.1016/j.ssci.2019.03.006
  • Stojčić, M, Zavadskas, E.K., Pamučar, D., Stević, Ž, & Mardani, A. (2019). Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008-2018. Symmetry, 11(3), 350. doi:10.3390/sym11030350
  • Trishch, R., Sichinava, A., Bartoš, V., Stasiukynas, A., & Schieg, M. (2023). Comparative assessment of economic development in the countries of the European Union. Journal of Business Economics and Management, 24(1), 20-36. doi: 10.3846/jbem.2023.18320
  • Yazdani M., Tavana, M., Pamučar, D., & Chatterjee, P. (2020). A rough based multi-criteria evaluation method for healthcare waste disposal location decisions. Computers & Industrial Engineering, 143, 106394. doi: 10.1016/j.cie.2020.106394
  • Yazdi, M., Khan, F., Abbassi, R., & Rusli, R. (2020). Improved DEMATEL methodology for effective safety management decision-making. Safety Science, 127, 104705. doi: 10.1016/j.ssci.2020.104705
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.ekon-element-000171693815

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