Abstract
The paper is devoted to the urgent problem of increasing the efficiency of foreign economic activity of enterprises of the metallurgical and machine-building industries. To increase the economic efficiency of industrial enterprises functioning in the process of implementing foreign economic activity, the paper proposes an algorithm for multivariate analysis, including the procedure for optimizing the system of interaction between an enterprise and customs authorities. When developing and testing the algorithm, customs operations are considered as critical links that determine the increase of the enterprise foreign economic activity efficiency. The mathematical programming problems are formulated on the basis of the CCR model of the DEA (Data envelopment Analysis) method to carry out a multivariate analysis of the comparative efficiency of import and/or export customs operations. The relative efficiency estimates obtained from solving mathematical programming problems make it possible to identify ineffective or least effective export and import customs operations. Based on directed weighted graphs, the special procedures have been developed to optimize the following parameters of customs operations: time of customs operations, labor costs of the enterprise, financial costs associated with compliance with the established prohibitions and restrictions of foreign trade. The algorithm was tested on the example of an industrial enterprise in the metallurgical industry Arkonik SMZ, which carries out export operations for the sale of lid tape of its own production, as well as import operations for the supply of varnish, which is a necessary technological material to ensure the production process of the tape. The administrative and operational decisions made on the basis of comparative evaluations of the obtained optimization results make it possible to exclude ineffective customs operations of foreign economic activity of an industrial enterprise.
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More From: Vestnik of Samara State Technical University. Technical Sciences Series
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