MODEL FOR ASSESSMENT AND MANAGEMENT OF THE EFFICIENCY OF BUSINESS PROCESSES OF SEA COMMERCIAL PORTS USING THE TAXONOMY METHOD

Abstract

The purpose of the article is to use the taxonomy method to analyze the efficiency of the business process of production activity of ports on the example of SE "STP Pivdenny". The relevance of this task is that it allows you to see growth factors and possible production shortcomings, which are the basis for developing a strategy activity for each enterprise. A model of economic efficiency is developed based on the values of key performance indicators of results (commitment and capacity), expenditure, productivity, and functioning (efficiency and resource expenditure). The proposed algorithm of the taxonomic method provides for the standardization of primary observations, the formation of a reference vector based on all selected key indicators for a period of t years. The structure of the taxonomic indicator of the effectiveness of the business process of the commercial activity of the port on the application of the SE "STP Pivdenny" is being explored. The taxonomic coefficients that are averaged over the values of the performance key indicator have been developed, which allows us to see the greatest positive and negative factors that influence the effectiveness. The largest values of the taxonomic coefficients have return on capital, net profit, fixed assets and income, which ensure high efficiency of the port. An increase in material costs and a decrease in material return in 2020 had a negative impact on the efficiency of production. Taxonomic coefficients of port efficiency, which reveal the average difference from the standard values of all key indicators in the population, allow one to monitor changes in port efficiency over time. In order to use the integral indicator of production efficiency to control the production process, economic-mathematical one-factor forecast models of dynamics with an analytical representation of the trend for four functions were developed: linear, exponential, logarithmic and exponent. The linear and exponential functions have the smallest sum of squared deviations. The used taxonomic methods have a powerful arsenal of systematization algorithms and can solve the problem of assessing the strategy of enterprise development.