Modelling and forecasting the workplace environmental physical factors values

• Autorzy: Kruzhilko O. , Cherneha R. , Maystrenko V. , Polukarov O. , Kalinchyk V.

Identyfikatory

DOI

10.5604/01.3001.0013.5999

• Języki publikacji: EN

Abstrakty

EN

Purpose: To develop a mathematical model for predicting the workplace environmental physical factors values. Design/methodology/approach: Experimental measurements of the harmful and dangerous physical factors values of workplace environmental were carried out using special certified equipments. For each physical factor, 200 measurements were carried out. The workplace choice is justified by the employees’ survey and specialists’ expert evaluation results. Prediction methods that can be used to predict the workplace environmental physical factors values have been analyzed analytically. Working conditions assessment was carried out in accordance with the classification of working conditions for workplace harmfulness and danger, which function in Ukraine. Findings: For a preliminary assessment of the impact of environmental physical factors on workers, it is proposed to use the strict ranking method. It has been established that the proposed mathematical models for predicting the workplace environmental physical factors values (noise, dust, vibration, relative humidity) have an accuracy of more than 90% and can be used for planning measures to working conditions improve. Research limitations/implications: The results of a study of modelling and forecasting the workplace environmental physical factors values at the enterprise for the manufacture of glass and glass products at workplaces of transportation, preparation and mixing of materials are shown. Mathematical models for four physical factors are presented: noise, dustiness of air, vibration, relative humidity. Practical implications: Mathematical models make it possible to predict the environmental physical factors values (noise, vibration, dust, humidity) taking into account the specifics of the production process, assess the hazard class and harmfulness of working conditions at workplaces and justify the measures at labour protection. Originality/value: For the first time proposed by the mathematical models for predict the environmental physical factors values (noise, vibration, dust, humidity) taking into account the specifics of the production process.

Słowa kluczowe

EN

safety and health management; environmental physical factors; prediction; methods; strict ranking method

PL

zarządzanie bezpieczeństwem i higieną pracy; środowiskowe czynniki fizyczne; predykcja; metody

• Wydawca: International OCSCO World Press
• Czasopismo: Archives of Materials Science and Engineering
• Rocznik: 2019
• Tom: Vol. 100, nr 1/2
• Strony: 21--33
• Opis fizyczny: Bibliogr. 25 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

Cherneha R.

• State Labour Service of Ukraine, 01601, Desyatynna str., 14, Kyiv, Ukraine

autor

Maystrenko V.

• 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

Bibliografia

• [1] S. Tak, R.R. Davis, G.M. Calvert, Exposure to hazardous workplace noise and use of hearing protection devices among US workers – NHANES, 1999-2004, American Journal of Industrial Medicine 52/5 (2009) 358-371, DOI: 10.1002/ajim.20690.
• [2] M. Milenović, S. Živković, M. Veljković, Noise and Aggressiveness in the Workplace, in: N. Herisanu, V. Marinca (Eds.), Acoustics and Vibration of Mechanical Structures – AVMS-2017: Proceedings of the 14th AVMS Conference, Timisoara, Springer Proceedings in Physics 198, Springer, 2018, 99-104, DOI: 10.1007/978-3-319-69823-6_12.
• [3] 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.
• [4] M. Asghari, P. Nassiri, M.R. Monazzam, F. Golbabaei, H. Arabalibeik, A. Shamsipour, A. Allahverdy, Weighting Criteria and Prioritizing of Heat stress indices in surface mining using a Delphi Technique and Fuzzy AHP-TOPSIS Method, Journal of Environmental Health Science and Engineering 15/1 (2017) 1, DOI: 10.1186/s40201-016-0264-9.
• [5] Y. Suhikova, 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.
• [6] O. Tverda, K. Tkachuk, Y. Davydenko, Comparative analysis of methods to minimize dust from granite mine dumps, Eastern-European Journal of Enterprise Technologies 4/10(64) (2016) 15-18, DOI: 10.15587/1729-4061.2016.64840.
• [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] S.O. Vambol, I.T. Bohdanov, V.V. Vambol, Y.O. Suchikova, O.M. Kondratenko, T.P. Nestorenko, S.V. Onyschenko, Formation of filamentary structures of oxide on the surface of monocrystalline gallium arsenide, Journal of Nano- and Electronic Physics 9/6 (2017) 06016, DOI: 10.21272/jnep.9(6).06016.
• [9] Ž. Janković, M. Mišić, M. Cvetković, Maintenance of work equipment based on vibration diagnosis for the purpose of employees’safety, Facta Universitatis, Series: Working and Living Environmental Protection 14/2 (2018) 129-138, DOI: 10.22190/FUWLEP1702129J.
• [10] K.O. Kobzev, S.A. Shamshura, A.N. Chukarin, A.I. Buryanov, V.E. Kasyanov, Substantiation of the parameters of vibration systems in the cab of the gantry crane at the workplace of crane operators, MATEC Web of Conferences 226 (2018) 01023, DOI: 10.1051/matecconf/201822 0102.
• [11] R. Jabbour, S. Turner, L. Hussey, F. Page, R. Agius, Workplace injury data reported by occupational physicians and general practitioners, Occupational Medicine 65/4 (2015) 296-302, DOI: 10.1093/ occmed/kqv014.
• [12] D. Sokolov, V. Sobyna, S. Vambol, V. Vambol, Substantiation of the choice of the cutter material and method of its hardening, working under the action of friction and cyclic loading, Archives of Materials Science and Engineering 94/2 (2018) 49-54, DOI: 10.5604/01.3001.0012.8658.
• [13] M. Picchio, J.C. Van Ours, Temporary jobs and the severity of workplace accidents, Journal of Safety Research 61 (2017) 41-51, DOI: 10.1016/j.jsr.2017. 02.004.
• [14] A.V. Arundel, E.M. Sterling, J.H. Biggin, T.D. Sterling, Indirect health effects of relative humidity in indoor environments, Environmental Health Perspectives 65 (1986) 351-361, DOI: 10.1289/ehp.8665351.
• [15] M. Levin, E. Rojas, E. Vanhala, M. Vippola, B. Liguori, K.I. Kling, I.K. Koponen, K. Mřlhave, T. Tuomi, D. Gregurec, S. Moya, K.A. Jensen, Influence of relative humidity and physical load during storage on dustiness of inorganic nanomaterials: implications for testing and risk assessment, Journal of Nanoparticle Research 17/8 (2015) 337, DOI: 10.1007/s11051-015-3139-6.
• [16] 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: 10.5604/ 01.3001.0013.4141.
• [17] H. Hnenna, Risk assessment of the complex harmful factors, Metallurgical and Mining Industry 1 (2016) 187-190.
• [18] O. Kruzhilko, O. Bogdanova, Method of human factor minimization in expert judgement for occupational risk assessment and decision making, Ukrainian Journal of Food Science 4/1 (2016) 138-150.
• [19] A.O. Vodyanik, Doslídzhennya prichin riziku virobnichogo travmatizmu bez smertel'nikh naslídkív, Problemi Okhoroni Pratsí v Ukraíní 10 (2005) 14-22 (in Ukrainian).
• [20] O. Kruzhilko, O. Polukarov, V. Kalinchyk, I. Tkalych, Improvement of the workplace environmental physical factors values monitoring by determining the optimal interval for their control, Archives of Materials Science and Engineering 99/1-2 (2019) 42-49, DOI: 10.5604/01.3001.0013.5881.
• [21] 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).
• [22] P.J. Brockwell, R.A. Davis, Time Series: Theory and Methods, Second Edition, Springer, New York, 2009, 273.
• [23] N.R. Draper, H. Smith, Applied Regression Analysis, Third edition, Wiley-Interscience, 1998, 736.
• [24] YU.P. Lukashin, Adaptivnyye metody kratkosrochnogo prognozirovaniya vremennykh ryadov, Moskva: Finansy i statistika, 2003, 415 (in Russian).
• [25] K.N. Tkachuk, V.V. Kalinchyk, Modeli prohnozuvannya rozvytku nebezpechnykh i shkidlyvykh chynnykiv vyrobnychykh ob”yektiv, Visnyk Kremenchuts’koho Natsional’noho Universytetu imeni Mykhayla Ostrohrads’koho 6(89) (2014) 143-147 (in Ukrainian).