Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science


DOI: 10.5937/jaes0-38899 
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Creative Commons License

Volume 20 article 1031 pages: 1263-1270

A.N. Nikulin*
Saint Petersburg Mining University, 2, 21st Line, St Petersburg, Russia

E. Mrackova
Technical University in Zvolen, Ul. T. G. Masaryka 24, Zvolen, Slovakia

I.V. Brovchenko
Saint Petersburg Mining University, 2, 21st Line, St Petersburg, Russia

D.O. Samarin
BF Tanker LLC, 80, V.O. Bolshoy prospect, Saint Petersburg, Russia

V.V. Kudinov
SUE «Vodokanal of St. Petersburg», 42, Kavalergardskaya st., Saint Petersburg, Russia

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.

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The research was backed up by the subsidy for the performance of government research assignment FSRW-2020-0014 for 2021. The researchers are grateful to Mikhail Zatsepin, assistant professor, Advanced Mathematics, and Andrey Gurko, assistant professor, Information Systems and Computation, for their help and valuable consultations.

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