In the paper, according to the analysis of statistical data, correlation between the amount of occupational injuries and occupationaldiseases in Ukraine within last 5 years is defined. Also, using methodology of the International Labor Organizationcorrelcation between the amount of accident fatalities and general number of accidents in Ukraine and EU countries (Austria, GreatBritain, Germany, Denmark, Norway, Poland, Hungry, Finland, France) is defined. It is shown that in spite of the positive dynamicsof decreasing amount of occupational injuries, the number of occupational diseases in Ukraine always increases. The comparativeanalysis of the ratio of the number of accident fatalities to the total number of registered accidents showed that, on average, Ukraineexceeds the EU countries by this indicator by 100 times.It is noted, that such negative indicators (in particular, increasing amount of occupational diseases), may occure because ofimperfect methodology for identifying the risks of professional dangerous.Also, it is ascertained that basing on the existed methodology, the identefication process of occupational dangerous isquite subjective, which reduces objectivity of conducting quantitative assessment. In order to eliminate defined drawnbacks it is firsttime proposed to use corresponding integral criterion to conduct the process of quantitative risk assessmentTo solve this problem authors formulate and propose an algorithm of improving methodology of a process of analysing dangerousand harmful production effects (DHPE) which are the mainest reasons of occupational dangerous.The proposed algorithm includes implementation of four following successive steps: DHPE identification, indication of theirmaximum allowed threshold of concentrations (levels), identification of the sources of identified DHPE, esimation of consequencesof manifestation.The improved proposed methodology allows indentify risks of occurrence occupational dangerous in systems "humantechnicalsystem-environment" even on the phase of its designing when dangerous and harmful manufactured factors are unknownyet.
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Bochkovskyi et al. (2018) studied this question.
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