Abstract
Different spheres of application of TOPSIS methods are considered by the author based on the literature review. The characteristics of TOPSIS methods for the selection of electricity supplier in Ukrainian energy market, which was launched in 2019, are studied in the article. The proposed methodological approach could be used by the enterprises, which consume electricity, buying it from suppliers on the energy market. The general problem statement for multi-criteria optimization in order to evaluate electricity suppliers is formulated by the author. The main stages of the TOPSIS method procedure are considered in the article, among which are identification of decision matrix, normalization of decision matrix, calculation of weighted normalized decision matrix, identification of “ideal” and “ideal-negative” expected state, distances calculation and calculation of related proximity to the “ideal” state. According to the obtained indicator of proximity the ranking of the researched objects should be conducted. It is highlighted in the article that the cost factor does not have significant influence in the process of the electricity supplier selection. The indicators, according to which the assessment of electricity suppliers is carried out, are given. The author proposes to use the indicators of enterprises’ efficiency, business activity, solvency, as well as financial results and profitability. Among these indicators the author identifies stimulators and destimulators, the maximization or minimization of which serve as criteria for managerial decision-making. The weights of the criteria are identified using the entropy method, which gives objective results comparing to the methods, which use experts’ opinions. The application of the proposed methodological approach is carried out in the article on the example of 43 enterprises. The obtained indicator of relative proximity to the ideal object allowed ranking the researched enterprises. The best and the worst alternative of electricity suppliers are identified, which could be used in the process managerial decision-making.
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