PRACTICAL APPROACH TO ASSESSMENT OF EFFECTIVENESS AND EFFICIENCY OF MANAGEMENT SYSTEMS FOR OCCUPATIONAL SAFETY

Andrei Nikolaevich  Nikulin; Eva  Mrackova; Ivan Vitalievich  Brovchenko; Dmitry Olegovich  Samarin; Vitaly Vladimirovich  Kudinov

doi:10.5937/jaes0-38899

Andrei Nikolaevich Nikulin Saint Petersburg Mining University, 2, 21st Line, St Petersburg, Russia
Eva Mrackova Technical University in Zvolen, Ul. T. G. Masaryka 24, Zvolen, Slovakia
Ivan Vitalievich Brovchenko Saint Petersburg Mining University, 2, 21st Line, St Petersburg, Russia
Dmitry Olegovich Samarin BF Tanker LLC, 80, V.O. Bolshoy prospect, Saint Petersburg, Russia
Vitaly Vladimirovich Kudinov SUE «Vodokanal of St. Petersburg», 42, Kavalergardskaya st., Saint Petersburg, Russia

DOI: https://doi.org/10.5937/jaes0-38899

Keywords: OSH management system, effectiveness assessment, comparative analysis, Harrington function, multicriteria solution

Abstract

The main purpose of the research was development of a method-based approach and software for the assessment of the effectiveness and efficiency of OSH management system in the company through a predictive model for the assessment of the correlation of an accident risk and generalized desirability indicator based on Harrington function. OSH management system status in a company is proposed to be assessed using mathematical methods for the processing of individual indicators and calculating generalized desirability indicator based on Harrington “desirability curve”. It is proposed to use an expert approach in order to determine individual indicators and assess their weight. It is suggested that such mathematical values as additive synthesizing function, weighted arithmetic mean, multiplicative synthesizing function, weighted geometric mean, should be calculated in «Е²» software. A methodology approach was developed involving mathematical processing of data in various source formats (shares, per cent, numbers, and words) so that Harrington “desirability curve” can be used to assess OSH management system effectiveness and efficacy in the company. A C# software code was developed to import and export Microsoft Excel data which significantly simplifies software use. A predictive model was developed showing the correlation between a professional accident risk value and generalized desirability indicator

References

Filimonov, V.A., Gorina, L.N. (2019). Development of an occupational safety management system based on the process approach. Journal of Mining Institute, vol. 235, 113-122, DOI:10.31897/PMI.2019.1.113

Karnachev, I.P., Levashov, S., Shkrabak, R.V., Cheltybashev, A.A. (2018). Concept of occupational safety and health management in the Russian industry. Gornyi Zhurnal, vol. 4, 87-92, DOI:10.17580/gzh.2018.04.16.

Rudakov, M.L. (2016). «Zero accident» corporate programmes as an element of strategic planning in the field of occupational safety and health at coal mining enterprises. Journal of Mining Institute, vol. 240, 465 – 471, DOI:10.18454/pmi.2016.3.465.

European Agency for Safety and Health at Work. European directives on safety and health at work (2020), from https://osha.europa.eu/ru/safetyandhealthlegislation/europeandirectives, accessed on 2021-09-07.

Serenay, C., Buyukakinc, B.Y. (2019). Occupational health and safety management systems applications and a system planning model. Procedia Computer Science, vol. 158, 10581066, DOI:10.1016/j.procs.2019.09.147

Klimova, E.V., Semeykin, A.Yu., Sinebok, D.A., Khomchenko, Yu.V. (2020) The modern information technologies in construction for improving occupational safety, IOP Conference Series: Materials Science and Engineering, vol. 945 (1), 235-242, DOI: 10.1088/1757-899X/945/1/012026.

Nikulin, A.N., Dolzhikov, I.S., Klimova, I.V., Smirnov, Y.G. (2021) Assessment of the effectiveness and efficiency of the occupational health and safety management system at a mining enterprise. Bezopasnost' Truda v Promyshlennosti, vol. 2021(1), 66–72, DOI: 10.24000/0409-2961-2021-1-66-72

Bochkovskyi, A. (2020). Improvement of risk management principles in occupational health and safety. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, vol. 4, 94-104, DOI: 10.33271/nvngu/20204/094

Podgorsky, D. (2015) Measuring operational performance of OSH management system – A demonstration of AHP-based selection of leading key performance indicators, Safety Science, vol. 73, 146 – 166.

Bielikov, A.S., Tairova, T.M., Papirnyk, R.B., Cherednichenko, L.A. (2020). Fire safety in Ukraine, Bulletin of Prydniprovs’ka State Academy of Civil Engineering and Architecture, vol. 4, 267-268.

Sklad, A. (2019). Assessing the impact of processes on the Occupational Safety and Health Management System’s effectiveness using the fuzzy cognitive maps approach, Safety Science, vol. 117, 7180, DOI: 10.1016/j.ssci.2019.03.021.

Silva, J.E., Rodrigues, C. (2018). A New Approach - Use of effectiveness and efficiency concepts in the identification of activities related to occupational safety management on motorways, International Journal of Occupational and Environmental Safety, vol. 2(2), 12-20, DOI:10.24840/2184-0954_002.002_0002

Order of the Federal State Statistics Service of Russian Federation № 326 (as amended on 12/18/2020) "On the approval of the federal statistical observation form for the organization of federal statistical monitoring of industrial injuries and occupational diseases", from https://rosstat.gov.ru/statistic, accessed on 2022-02-03.

Ovchinnikova, T.I., Pototskiy, E.P., Firsova, V.M. (2021). Risk-based approach to hazard assessment in the mining industry. MIAB. Mining Inf. Analalutic Bulleten, vol. 2-1, 199-208, DOI:10.25018/0236-1493-2021-21-0-199-208.

Perevozova, I., Daliak, N., Lisova, O., Naumov, D. (2019). Application of the Harrington function to assess the performance of oil and gas companies. Conference proceedings of the 6th International conference on strategies, models and technologies of economic systems management (SMTESM 2019). Advances in Economics, Business and Management Research, vol. 95, 359 – 363, DOI:10.2991/smtesm-19.2019.70

Chemezov, E.N. (2019) Industrial safety principles in coal mining, Journal of Mining Institute, vol. 240, 649-653, DOI:10.31897/PMI.2019.6.649

Gospodarikov, A.P., Zatsepin, M.A (2019) Mathematical modeling of boundary problems in geomechanics. Gornyi Zhurnal, vol. 2019(12), 16–20, DOI: 10.17580/gzh.2019.12.03

Rahman, P.A. (2018) Analysis of stationary availability factor of two-level backbone computer networks with arbitrary topology. Journal of Physics: Conference Series, vol. 1015(2), DOI:10.1088/1742-6596/1015/2/022016

Movchan, I. B., Shaygallyamova, Z. I., Yakovleva, A. A., & Movchan, A. B. (2021). In-creasing resolution of seismic hazard mapping on the example of the north of middle rus-sian highland. Applied Sciences (Switzerland), 11(11) https://doi:10.3390/app11115298

Strugar, V. (2022). The complexity of the modern DNO business - the importance of main-taining IMS and ICT support. Journal of Quality and System Engineering, vol. 1, no. 1, 1-10.

Martirosyan, A. V., Ilyushin, Y. V., & Afanaseva, O. V. (2022). Development of a distrib-uted mathematical model and control system for reducing pollution risk in mineral water aquifer systems. Water (Switzerland), 14(2) https://doi:10.3390/w14020151

Kuzmin, P. A., Bukharina, I. L., & Kuzmina, A. M. (2018). The reaction of woody plants to growing conditions in the man-made environment. International Journal of Civil Engineering and Technology, 9(11), 878-887.

Vasilyeva, N., Fedorova, E., & Kolesnikov, A. (2021). Big data as a tool for building a predictive model of mill roll wear. Symmetry, 13(5) doi:10.3390/sym13050859