O. Kruzhilko, N. Volodchenkova, V. Maystrenko, B. Bolibrukh, V. Kalinchyk, A. Zakora, A. Feshchenko, S. Yeremenko
{"title":"乌克兰冶金工业企业职业风险的数学建模","authors":"O. Kruzhilko, N. Volodchenkova, V. Maystrenko, B. Bolibrukh, V. Kalinchyk, A. Zakora, A. Feshchenko, S. Yeremenko","doi":"10.5604/01.3001.0015.4797","DOIUrl":null,"url":null,"abstract":"Purpose: To develop a more advanced methodology, the application of which will provide an informational and computational and analytical basis for planning and implementing effective preventive measures aimed at minimizing occupational risks with limited resources, as well as in the absence of organizational and technical capabilities to create absolutely safe working conditions\nDesign/methodology/approach: For the study, statistical data were used that obtained from enterprises of the metallurgical industry of Ukraine. Research methods: analysis and generalization of known scientific results, methods of statistical analysis, mathematical modelling, expert assessments and decision theory.\nFindings: The results of experimental studies have confirmed the possibility of an objective assessment of various options for the OSH management strategy, which allows justifying the allocation of funds for OSH in the required amounts. It is shown that professional risk management strategies are characterized by different efficiency in the use of available financial resources, and the most effective strategy is one that allows you to minimize the level of risk (in comparison with other strategies) with the same amount of funding.\nResearch limitations/implications: The study focuses on enterprises of the metallurgical industry in Ukraine.\nPractical implications: The application of the developed mathematical models demonstrates the effectiveness of financing certain preventive and protective measures, and stimulates the head to ensure industrial safety.\nOriginality/value: The developed mathematical models allow justifying the allocation of funds for OSH in the required amounts.\n\n","PeriodicalId":14825,"journal":{"name":"Journal of Achievements in Materials and Manufacturing Engineering","volume":"111 3-4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Mathematical modelling of professional risk at Ukrainian metallurgical industry enterprises\",\"authors\":\"O. Kruzhilko, N. Volodchenkova, V. Maystrenko, B. Bolibrukh, V. Kalinchyk, A. Zakora, A. Feshchenko, S. Yeremenko\",\"doi\":\"10.5604/01.3001.0015.4797\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: To develop a more advanced methodology, the application of which will provide an informational and computational and analytical basis for planning and implementing effective preventive measures aimed at minimizing occupational risks with limited resources, as well as in the absence of organizational and technical capabilities to create absolutely safe working conditions\\nDesign/methodology/approach: For the study, statistical data were used that obtained from enterprises of the metallurgical industry of Ukraine. Research methods: analysis and generalization of known scientific results, methods of statistical analysis, mathematical modelling, expert assessments and decision theory.\\nFindings: The results of experimental studies have confirmed the possibility of an objective assessment of various options for the OSH management strategy, which allows justifying the allocation of funds for OSH in the required amounts. It is shown that professional risk management strategies are characterized by different efficiency in the use of available financial resources, and the most effective strategy is one that allows you to minimize the level of risk (in comparison with other strategies) with the same amount of funding.\\nResearch limitations/implications: The study focuses on enterprises of the metallurgical industry in Ukraine.\\nPractical implications: The application of the developed mathematical models demonstrates the effectiveness of financing certain preventive and protective measures, and stimulates the head to ensure industrial safety.\\nOriginality/value: The developed mathematical models allow justifying the allocation of funds for OSH in the required amounts.\\n\\n\",\"PeriodicalId\":14825,\"journal\":{\"name\":\"Journal of Achievements in Materials and Manufacturing Engineering\",\"volume\":\"111 3-4\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Achievements in Materials and Manufacturing Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5604/01.3001.0015.4797\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Achievements in Materials and Manufacturing Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/01.3001.0015.4797","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
Mathematical modelling of professional risk at Ukrainian metallurgical industry enterprises
Purpose: To develop a more advanced methodology, the application of which will provide an informational and computational and analytical basis for planning and implementing effective preventive measures aimed at minimizing occupational risks with limited resources, as well as in the absence of organizational and technical capabilities to create absolutely safe working conditions
Design/methodology/approach: For the study, statistical data were used that obtained from enterprises of the metallurgical industry of Ukraine. Research methods: analysis and generalization of known scientific results, methods of statistical analysis, mathematical modelling, expert assessments and decision theory.
Findings: The results of experimental studies have confirmed the possibility of an objective assessment of various options for the OSH management strategy, which allows justifying the allocation of funds for OSH in the required amounts. It is shown that professional risk management strategies are characterized by different efficiency in the use of available financial resources, and the most effective strategy is one that allows you to minimize the level of risk (in comparison with other strategies) with the same amount of funding.
Research limitations/implications: The study focuses on enterprises of the metallurgical industry in Ukraine.
Practical implications: The application of the developed mathematical models demonstrates the effectiveness of financing certain preventive and protective measures, and stimulates the head to ensure industrial safety.
Originality/value: The developed mathematical models allow justifying the allocation of funds for OSH in the required amounts.
期刊介绍:
The Journal of Achievements in Materials and Manufacturing Engineering has been published by the Association for Computational Materials Science and Surface Engineering in collaboration with the World Academy of Materials and Manufacturing Engineering WAMME and the Section Metallic Materials of the Committee of Materials Science of the Polish Academy of Sciences as a monthly. It has 12 points which was received during the evaluation by the Ministry of Science and Higher Education journals and ICV 2017:100 on the ICI Journals Master list announced by the Index Copernicus. It is a continuation of "Proceedings on Achievements in Mechanical and Materials Engineering" published in 1992-2005. Scope: Materials[...] Properties[...] Methodology of Research[...] Analysis and Modelling[...] Manufacturing and Processingv Biomedical and Dental Engineering and Materials[...] Cleaner Production[...] Industrial Mangement and Organisation [...] Education and Research Trends[...]