USE OF NEURAL NETWORKS IN SAFETY MANAGEMENT AT THE WORKPLACE OF EMPLOYEES WITH DISABILITY

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Authors

  • K. Danova O.M. Beketov National University of Urban Economy in Kharkiv
  • V. Malysheva O.M. Beketov National University of Urban Economy in Kharkiv
  • L. Kolybelnikova O.M. Beketov National University of Urban Economy in Kharkiv

Keywords:

human with disability, occupational safety, neural network, management

Abstract

The problem of safety management at the workplaces of workers with disabilities is one of the key issues when solving the problem of employment of a person with stable functional changes in his health status at the workplace in an enterprise conditions. An employer who, according to legislation, is responsible for ensuring safe work conditions at the workplace, in most cases connects the employment of a person with a disability with a possible increase of the injury level. The rational selection of the workplace, taking into account the limitations of life activity caused by human health, makes it possible to formalize this process, giving the employer the opportunity to make well-grounded decisions subject to safety requirements. The article discusses the basic principles of developing and using an artificial neural network in solving the issue of selecting a workplace for a person with a disability that may have different life-limiting, in order to reduce the degree of discrepancy between the employee's health status and specifics of work activity. Network input signals are conditioned by the life limitations of a person with disability. The output signals of the neural network are the coefficients that characterize the level of discrepancy in the employee's employment at the workplace, which is characterized mainly by physical activity, mental activity, or psycho-emotional and sensory activity.

The use of artificial neural networks is a perspective direction in managerial decision-making, particularly in the field of workplace safety for workers with disabilities. The principle of creation an artificial network allows to take into account the life limitation of a person with stable functional changes in health status, as well as to provide sufficient efficiency and flexibility of the management decision-making process, taking into account the context of production activity.

Author Biographies

K. Danova, O.M. Beketov National University of Urban Economy in Kharkiv

Ph.D., Associate Professor

V. Malysheva, O.M. Beketov National University of Urban Economy in Kharkiv

Ph.D., Associate Professor

L. Kolybelnikova, O.M. Beketov National University of Urban Economy in Kharkiv

senior lecturer

References

Verkhovna Rada Ukrainy. (2018). Zakon Ukrainy «Pro osnovy sotsialnoi zakhyshchenosti invalidiv v Ukraini». Re-trieved from http://zakon2.rada.gov.ua/laws/show/875-12.

Verkhovna Rada Ukrainy. (2003). Konventsiia pro profesi-inu reabilitatsiiu ta zainiatist invalidiv. Retrieved from http://zakon1.rada.gov.ua/laws/show/993_065.

Verkhovna Rada Ukrainy. (2016). Konventsiia pro prava osib z invalidnistiu. Retrieved from http://zakon5.rada.gov.ua/laws/show/995_g71.

Novotarskyi, M. A., Nesterenko, B. B. (2004). Shtuchni neironni merezhi: obchyslennia. Pratsi Instytutu matematyky NAN Ukrainy,50, 408.

Dranyshnykov, L. V. (2018). Intellektualni metody v upravlinni: navchalnyi posibnyk. Kamianske, 416.

Pagel, J. F., Kirshtein, P. (2017). Neural Networks. Machine Dreaming and Consciousness. Retrieved from https://www.sciencedirect.com/topics/psychology/neural-network.

Illing, B., Gerstner, W., Brea, J. (2019). Biologically plausible deep learning – But how far can we go with shallow networks? Neural Networks, 118, 90-101.

Vernyhora, R. V., Yelnykova, L. O. (2014). Mozhlyvosti vykorystannia shtuchnykh neironnykh merezh pry prohnozuvanni poiznoi roboty zaliznychnykh napriamkiv. Transportni systemy ta tekhnolohii perevezen, 7, 15-19.

Ministerstvo okhorony zdorovia Ukrainy. (2011). Instruktsiia pro vstanovlennia hrup invalidnosti (Nakaz 05.09.2011 N 561). Retrieved from http://zakon5.rada.gov.ua/laws/show/z1295-11.

Ministerstvo okhorony zdorovia Ukrainy. (2012). Poriadok vstanovlennia medyko-sotsialnymy ekspertnymy komisiiamy stupenia stiikoi vtraty profesiinoi pratsezdatnosti u vidsotkakh pratsivnykam, yakym zapodiiano ushkodzhennia zdorovia, poviazane z vykonanniam trudovykh oboviazkiv. (Nakaz Ministerstva okhorony zdorovia Ukrainy 05.06.2012 N 420). Retrieved from https://zakon.rada.gov.ua/laws/show/z1387-12.

Published

2020-04-03

How to Cite

Danova, K., Malysheva, V., & Kolybelnikova, L. (2020). USE OF NEURAL NETWORKS IN SAFETY MANAGEMENT AT THE WORKPLACE OF EMPLOYEES WITH DISABILITY: Array. Municipal Economy of Cities, 1(154), 261–266. Retrieved from https://khg.kname.edu.ua/index.php/khg/article/view/5563

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