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dc.contributor.authorBochkovskyi, A.-
dc.contributor.authorSapozhnikova, N.-
dc.contributor.authorБочковський, Андрій-
dc.contributor.authorСапожнікова, Наталя-
dc.date.accessioned2020-02-07T08:19:26Z-
dc.date.available2020-02-07T08:19:26Z-
dc.date.issued2019-12-
dc.identifier.citationBochkovckyi, A., Sapozhnikova, N. (2019). Minimization of the “human factor” influence in occupational health and safety. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 6, 95-106.en
dc.identifier.citationBochkovckyi, A. Minimization of the “human factor” influence in occupational health and safety / A. Bochkovckyi, N. Sapozhnikova // Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. - 2019. - N 6. - P. 95-106.en
dc.identifier.issn2071-2227-
dc.identifier.urihttp://dspace.opu.ua/jspui/handle/123456789/10236-
dc.description.abstractPurpose. Development of conceptual bases of introduction of system approach to minimization of the “human factor” influence in Occupational Health and Safety. Methodology. Within the research, the following complex of scientific methods was applied: analysis of scientific and technical literature, legal framework in Occupational Health and Safety and quality assurance in higher education; structural analysis ‒ to determine the structure and causes of occupational danger occurrence; graph theory ‒ to determine the main stages of software development for the automated accounting system and control of changes in the legal framework of Ukraine in Occupational Health and Safety; the theory of Markov processes ‒ to determine the main directions of development of science-based rational modes of work and rest; methods of formalization ‒ to develop the principles of construction an automated system for preventing “human factor” influence. Findings. The analysis of the system of training of future specialists in Occupational Health and Safety is conducted and the main defects of the qualitative and quantitative composition of standards for higher education, which create conditions for negative “human factor” sign occurrence related to a deliberate breach of the normative legal acts in Occupational Health and Safety by an employee, are determined. The results of the analysis determined the main directions of minimization of given signs. The necessity of use of mathematical tools of graph theory is substantiated and the main stages of the software development for the automated accounting system and control of changes to the legal framework of Ukraine in Occupational Health and Safety are determined. Conditions and the basic directions of construction of stochastic models for developing science-based rational modes of work and rest based application of a special subclass of Markov processes ‒ Markov processes with drift – are defined. The principles of construction and main functions of the automated system of the prevention of “human factor” signs that will allow for constant monitoring and operational correction of given signs, as well as control of qualitative and quantitative characteristics of the identified rational modes of work and rest are proposed. Originality. For the first time, the necessity of introducing a system approach to minimization of “human factor” signs in Occupational Health and Safety in certain directions is substantiated. Practical value. The obtained results will be used as an analytical basis for the development of theoretical and methodological tools for introduction a system approach to minimization of “human factor” signs in “man ‒ machine ‒ environment” systems.en
dc.language.isoenen
dc.publisherНГУen
dc.subjectОхорона праціen
dc.titleMinimization of the “human factor” influence in occupational health and safetyen
dc.title.alternativeМінімізація впливу „людського фактора“у сфері охорони праці]en
dc.typeArticle in Scopusen
opu.kafedraКафедра управління системами безпеки життєдіяльностіuk
opu.citation.journalNaukovyi Visnyk Natsionalnoho Hirnychoho Universytetuen
opu.citation.firstpage95en
opu.citation.lastpage106en
opu.citation.issue6en
opu.staff.idboch@opu.uaen
opu.staff.idn.sap.bzd@oup.uaen
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