The example of evaluating the effectiveness of the management system of la-bor protection of the enterprise with the method of multicriteria selection of alternatives based on a fuzzy advantage ratio


Keywords: The management system of labor protection, threats to the efficiency of the system functioning, the method of multicriteria selection of alternatives based on a fuzzy advantage ratio

Abstract

The management system of labor protection (MSLP) is an effective tool, which allows the business entity to provide the proper level of labor protection on the enterprises, that corresponds to the requirements of safe and healthy conditions of work for employees. The approaches of construction and functioning of MSLP are improving based on international experience. In 2018 the Cabinet of Ministers of Ukraine has approved “The concept of reforming the management system of labor protection in Ukraine”, which basing on a risk-oriented approach determines the principles, directions and tasks of building a system of labor safety and health in Ukraine and aims to create the national system of production risks prevention and to ensure safe and healthy working conditions for employees. This article deals with the use of the method of multicriteria choice of alternatives based on fuzzy advantage ratio in the process of evaluating the effectiveness of the labor protection management system of enterprises, that allows more objectively identify threats to efficiency of MSLP of the specific business entity. There are some examples of usages of this method to solve issues related to ensuring the economic security of economic entities. Based on those scientific works authors tried to evaluate the effectiveness of functioning of MSLP. The solution of this problem was carried out on the example of a specific chemical enterprise. The department of Life Safety of the National Forestry University of Ukraine has carried out significant work to identify threats to efficiency of MSLP, related to the activities of the labor protection service, which in this article are considered as a set of acceptable alternatives and could be the threat for MSLP efficiency. Also, there were identified some criteria for selecting among the identified threats (acceptable alternatives): the threat occurs infrequently and irregularly; the appearance of threats from time to time; threat occurs frequently and regularly (recurrence of the threat) over a period of time. In the course of the work, the most significant threats were found. That is, the problem of rational choice of alternatives from a certain set X was solved, for which some fuzzy advantage ratio is given g1, g2, g3 with the function μgj : X × X → (0, 1). To solve the problem of multicriteria selection described above, was select an effective method of convolution of the vector criterion into a scalar. The results show that the most significant threats to efficiency of MSLP of the enterprise that was analyzed is an excess of the frequency of injuries at the enterprise over the frequency in the industry and a gross violation of occupational safety rules, accidents. The results obtained indicate that an accident has occurred or may occur at the assessed enterprise. The use of the method of multi-criteria selection of alternatives on the basis of a fuzzy ratio of advantages in the process of evaluating the effectiveness of the management system of labor protection of the enterprise allows more objectively identify shortcomings of MSLP, that potentially lead to undesirable consequences and, accordingly, take the necessary measures in time to normalize the situation.

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Published
2020-10-28
How to Cite
Olyanyshen, T., Storozhuk, V., Yatsiuk, R., Chaikovskyi, B., Yaroshovych, I., Ratushniak, Y., & Melnikov, A. (2020). The example of evaluating the effectiveness of the management system of la-bor protection of the enterprise with the method of multicriteria selection of alternatives based on a fuzzy advantage ratio. Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies. Series: Food Technologies, 22(94), 44-49. https://doi.org/10.32718/nvlvet-f9409