Improvement of the workplace environmental physical factors values monitoring by determining the optimal interval for their control

• Autorzy: Kruzhilko O. , Polukarov O. , Kalinchyk V. , Tkalych I.

Identyfikatory

DOI

10.5604/01.3001.0013.5881

• Języki publikacji: EN

Abstrakty

EN

Purpose: Determination of such an interval of workplace environmental physical factors control, which would ensure high monitoring reliability and the minimum data collection and processing duration (or cost). Design/methodology/approach: To achieve the goal were applied: analysis and synthesis of known scientific results on the topic of research, statistical analysis, mathematical modelling. Statistical data for determining the interval of control was recorded at regular intervals. Findings: A methodology has been developed for determining the interval of workplace environmental physical factors values control. It is based on the identification of patterns of change in the physical factors values. The algorithm of workplace environmental physical factors values control is proposed, which helps to identify cases when the actual values of the factors exceed the limit values. The practical application of theoretical propositions showed that the correlation coefficient between the factual sample and the sample formed using the determined control interval is within 0.74…0.88, which satisfies the condition R > 0.5 as intended. Research limitations/implications: The mechanism for workplace environmental physical factors values monitoring was further developed on the basis of forecasting changes in the physical factors values and determining the duration of the excess of the factors values over the limit. In this study on stationary and conditional stationary processes was the focus. Practical implications: The use of the algorithm that is based on the methodology for determining the interval of workplace environmental physical factors values control contributes to more effective monitoring of working safety. Originality/value: For the first time justified by the choice of the control interval of workplace environmental physical factors values with acceptable accuracy of the forecast that allow to quickly establish working conditions hazard class.

Słowa kluczowe

EN

safety and health management; workplace environmental physical factors; algorithmization

PL

zarządzanie bezpieczeństwem i higieną pracy; czynniki fizyczne środowiska pracy; algorytmizacja

• Wydawca: International OCSCO World Press
• Czasopismo: Archives of Materials Science and Engineering
• Rocznik: 2019
• Tom: Vol. 99, nr 1/2
• Strony: 42--49
• Opis fizyczny: Bibliogr. 15 poz.

Twórcy

autor

Kruzhilko O.

• Public Agency "National Scientific and Research Institute of Industrial Safety and Occupational Safety and Health", 04060, Vavilovykh str.,13, Kyiv, Ukraine

autor

Polukarov O.

• National Technical University of Ukraine "Igor Sikorsky Kiev Polytechnic Institute", 03056, Prosp. Peremohy, 37, Kyiv, Ukraine

autor

Kalinchyk V.

• National Technical University of Ukraine "Igor Sikorsky Kiev Polytechnic Institute", 03056, Prosp. Peremohy, 37, Kyiv, Ukraine

autor

Tkalych I.

• Public Agency "National Scientific and Research Institute of Industrial Safety and Occupational Safety and Health", 04060, Vavilovykh str.,13, Kyiv, Ukraine

Bibliografia

• [1] S. Ragimov, V. Sobyna, S. Vambol, V. Vambol, A. Feshchenko, A. Zakora, E. Strejekurov, V. Shalomov, Physical modelling of changes in the energy impact on a worker taking into account high-temperature radiation, Journal of Achievements in Materials and Manufacturing Engineering 91/1 (2018) 27-33, DOI: 10.5604/01.3001.0012.9654.
• [2] K. Hys, A. Domagała, Application of spaghetti chart for production process streamlining. Case study, Archives of Materials Science and Engineering 89/2 (2018) 64-71, DOI: 10.5604/01.3001.0011.7173.
• [3] Y. Suohikova, S. Vambol, V. Vambol, N. Mozaffari, N. Mozaffari, Justification of the most rational method for the nanostructures synthesis on the semiconductors surface, Journal of Achievements in Materials and Manufacturing Engineering 92/1-2 (2019) 19-28, DOI: 10.5604/01.3001.0013.3184.
• [4] V.Ye. Kolesnik, A.V. Pavlichenko, Yu.V. Buchavy, Dynamic parameters estimation of dust emissions of heat-and-power objects of coal mines, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 5 (2016) 91-97.
• [5] O. Tverda, K. Tkachuk, Y. Davydenko, Comparative analysis of methods to minimize dust from granite mine dumps, Eastern-European Journal of Enterprise Technologies 2/10(80) (2016) 40-46, DOI: https://doi.org/10.15587/1729-4061.2016.64840.
• [6] Y. Gao, Y. Fan, J. Wang, J. Pei, Procedural management of safety regulations and rules for the chemical industry, Process Safety Progress 38/2 (2019) 1-15, DOI: 10.1002/prs.11999.
• [7] S. Vambol, V. Vambol, V. Sobyna, V. Koloskov, L. Poberezhna, Investigation of the energy efficiency of waste utilization technology, with considering the use of low-temperature separation of the resulting gas mixtures, Energetika 64/4 (2018) 186-195, DOI: 10.6001/energetika.v64i4.3893.
• [8] M. Niciejewska, Difficulties in work safety management in a company producing steel flat bars, Production Engineering Archives 17 (2017) 28-32, DOI: 10.30657/pea.2017.17.06.
• [9] S. Singh Nain, R. Sai, P. Sihag, S. Vambol, V. Vambol, Use of machine learning algorithm for the better prediction of SR peculiarities of WEDM of Nimonic-90 superalloy, Archives of Materials Science and Engineering 95/1 (2019) 12-19, DOI: 10.5604/01.3001.0013.1422.
• [10] Derzhavni sanitarni normy ta pravyla. Hihiyenichna klasyfikatsiya pratsi za pokaznykamy shkidlyvosti ta nebezpechnosti faktoriv vyrobnychoho seredovyshcha, vazhkosti ta napruzhenosti trudovoho protsesu: Nakaz MOZ Ukrayiny vid 08.04.2014 r no. 248, Available at: https://zakon.rada.gov.ua/laws/show/z0472-14 (in Ukrainian).
• [11] M. Lysyuk, Umovy pratsi na robochykh mistsyakh ta yikh atestatsiya, Dovidnyk kadrovyka 8 (2007) 94-100 (in Russian).
• [12] O. Kruzhilko, V. Maystrenko, Management decisionmaking algorithm development for planning activities that reduce the production risk level, Journal of Achievements in Materials and Manufacturing Engineering 93/1-2 (2019) 41-49, DOI: https://doi.org/10.5604/01.3001.0013.4141.
• [13] S.S. Kudryavtsev, P.V. Yemelin, N.K. Yemelina, The Development of a Risk Management System in the Field of Industrial Safety in the Republic of Kazakhstan, Safety and Health at Work 9/1 (2018) 30-41, DOI: 10.1016/j.shaw.2017.06.003.
• [14] K.N. Tkachuk, V.V. Kalynchyk, Vybor optymal’noho shaha dyskretyzatsyy pry kontrole élektrooborudovanyya. Pryladobuduvannya: stan i perspektyvy: materialy KHI mizhnar. nauk.-tekhnich. konf. Kyyiv, C., 2012, 262-263, Available at: https://pbf.kpi.ua/old/arch/scientific/PB/2012/conf_PB_s8_2012.pdf (in Russian).
• [15] K.N. Tkachuk, V.V. Kalinchik, Metodologiya postroyeniya sistemy monitoringa opasnykh faktorov proizvodstvennykh ob"yektov. Akademicheskaya nauka – problemy i dostizheniya: materíali III mezhdunar. nauch.-prakt. konf., North Charleston, SC, USA, CreateSpace, Vol. 1, 2014, 154-157, Available at: https://elibrary.ru/item.asp?id=21751763 (in Russian).