ROMAN TRISHCH, OLESIA NECHUIVITER, HANNA HRINCHENKO, TETIANA BUBELA, MYKOLA RIABCHYKOV, IVETA PANDOVA
{"title":"ASSESSMENT OF SAFETY RISKS USING QUALIMETRIC METHODS","authors":"ROMAN TRISHCH, OLESIA NECHUIVITER, HANNA HRINCHENKO, TETIANA BUBELA, MYKOLA RIABCHYKOV, IVETA PANDOVA","doi":"10.17973/mmsj.2023_10_2023021","DOIUrl":null,"url":null,"abstract":"Assessment of occupational safety risks at work is a requirement of the Occupational Health and Safety Management System, which is regulated by international standards. For quantitative risk assessment, it is proposed to use qualimetric methods. It is proposed to obtain estimates of hazardous factors on a dimensionless scale using the error function (erf). Knowing the density function of the law of distribution of random variables of quantitative values of negative factors, the density function of their estimates on a dimensionless scale was obtained. Functionally dependent statistics were obtained. The density function makes it possible to determine the risk of a hazardous factor score falling into the hazardous assessment interval.","PeriodicalId":18723,"journal":{"name":"MM Science Journal","volume":"13 1","pages":"0"},"PeriodicalIF":0.6000,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MM Science Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17973/mmsj.2023_10_2023021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
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Abstract
Assessment of occupational safety risks at work is a requirement of the Occupational Health and Safety Management System, which is regulated by international standards. For quantitative risk assessment, it is proposed to use qualimetric methods. It is proposed to obtain estimates of hazardous factors on a dimensionless scale using the error function (erf). Knowing the density function of the law of distribution of random variables of quantitative values of negative factors, the density function of their estimates on a dimensionless scale was obtained. Functionally dependent statistics were obtained. The density function makes it possible to determine the risk of a hazardous factor score falling into the hazardous assessment interval.
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