Intelligent management methodology based on the performance results of customs authorities

Abstract

Current trends in the development of the Russian customs service are focused on world experience in building effective systems of foreign trade regulation based on advanced management decision-making methods. Traditional methods and models are transformed into a new management methodology that allows implementing an intelligent decision-making process. The most important task of the customs authorities is to increase the efficiency of customs administration. This problem can be solved by creating and implementing an intelligent management methodology based on the results of their activities. The methodology proposed in the work transforms the mission and the general strategy of the customs authorities into a system of specifically formulated goals, as well as indicators that determine the degree to which each of the set goals is achieved in the context of basic prospects adapted to the activities of the customs authorities. The possibility of intelligent modeling of quantitative assessment of the degree of achievement of each goal increases the efficiency of the described technology. The methodology of intelligent management based on the performance results of customs authorities was proposed, taking into account risk factors and uncertainties that reflect the characteristics of this activity. The methodology is based on the provisions of the strategic management theory, a balanced scorecard, the methodology of intelligent modeling based on fuzzy logic. The obtained results reflect the procedure for implementing the intelligent management methodology, which is based on the balanced scorecard methodology with the possibility of intelligent mathematical modeling of a quantitative assessment of the degree of achievement of each goal, in the work of customs authorities.